Index

A

• adapted feature detection
  • about / Adapted feature detection
• adaptive thresholding
  • about / Adaptive thresholding
• algorithm design
  • Strategy design pattern, using / Using the Strategy pattern in an algorithm design, How to do it…, How it works…
• anchor point
  • about / Eroding and dilating images using morphological filters
• aperture / Image formation

B

• backward mapping / How it works...
• Beucher gradient / How it works...
• BGR color space / Backprojecting color histograms
• BGR image
  • converting, into phenomenal color space / How to do it…
• bicubic interpolation / Interpolating pixel values
• binary edge map
  • obtaining / How it works...
• binary features
  • keypoints, describing with / Describing keypoints with binary features, How to do it..., How it works..., There's more...
• Binary Robust Invariant Scalable Keypoints (BRISK) detector
  • about / Detecting FAST features at multiple scales, How it works...
• bins
  • about / Computing the image histogram
• bounding box / How it works...
• brightness
  • about / How it works…

C

• callback function
  • about / Clicking on images
• camera
  • calibrating / Calibrating a camera, How to do it..., How it works...
  • calibrating, with known intrinsic parameters / Calibration with known intrinsic parameters
  • calibrating, grid of circles used / Using a grid of circles for calibration
• Canny algorithm
  • about / Detecting image contours with the Canny operator
• Canny operator
  • image contours, detecting with / Detecting image contours with the Canny operator
  • working / How it works...
• channel index / How it works...
• CIE L*a*b*
  • about / Getting ready
• CIE L*u*v* color space
  • about / How it works…
• CIE XYZ color space
  • about / How it works…
• circles
  • detecting / Detecting circles
• closing / How it works...
• CMake tool
  • URL / How to do it...
  • about / How to do it...
• codec
  • about / There's more...
• codec four-character code
  • about / The codec four-character code
• color histograms
  • backprojecting / Backprojecting color histograms
• color lightness
  • about / How it works…
• color reduction
  • formulas / Other color reduction formulas
  • input arguments / Having input and output arguments
  • output arguments / Having input and output arguments
• color reduction function
  • signature / How to do it...
  / There's more...
• color representations
  • converting / Converting color representations, How to do it…, How it works…
• colors
  • representing, with hue / Representing colors with hue, saturation, and brightness
  • representing, with brightness / Representing colors with hue, saturation, and brightness
  • representing, with saturation / Representing colors with hue, saturation, and brightness
  • saturation channel / How to do it…
  • hue channel / How to do it…
  • used, for skin tone detection / Using colors for detection – skin tone detection
• color value
  • about / How it works…
• components' contours
  • extracting / Extracting the components' contours, How to do it..., How it works...
• components' shape descriptors
  • computing / Computing components' shape descriptors, How to do it..., How it works...
• connected components / Extracting the components' contours
• content-based image retrieval
  • about / Retrieving similar images using the histogram comparison
• continuous images
  • scanning / Efficient scanning of continuous images
• Controller
  • about / The Model-View-Controller architecture
• Controller class / How to do it…
• Controller design pattern
  • used, for communicating with processing modules / Using a Controller design pattern to communicate with processing modules, How to do it…, How it works…
• convex hull / How it works...
• convolution / How it works...
• corners
  • detecting, in image / Detecting corners in an image, How to do it..., How it works...
• cv**absdiff function / How it works...
• cv**abs operator / How it works...
• cv**add function / How it works...
• cv**approxPolyDP function / How it works...
• cv**BFMatcher function / Cross-checking matches
• cv**bitwise_and operator / How it works...
• cv**bitwise_not operator / How it works...
• cv**bitwise_or operator / How it works...
• cv**bitwise_xor operator / How it works...
• cv**blur function / How to do it...
• cv**boxFilter function / How it works...
• cv**BRISK class
  • about / How it works...
• cv**calBackProject function / How it works...
• cv**calcHist function / How to do it...
  • parameters / How it works...
• cv**calibrationMatrixValues / How it works...
• cv**Canny function / How to do it...
• cv**circle function / Detecting circles
• cv**contourArea function / There's more...
• cv**convexityDefects function / How it works...
• cv**cornerHarris / How to do it...
• cv**cuberoot operator / How it works...
• cv**DescriptorExtractor
  • about / How to do it...
• cv**DescriptorMatcher class
  • about / How to do it...
• cv**dilate function / How to do it...
• cv**divide function / How it works...
• cv**DMatch
  • about / How it works...
• cv**DMatch object
  • about / How to do it...
• cv**drawMatches class
  • about / How to do it...
• cv**ellipse function / How it works..., There's more...
• cv**erode function / How to do it...
• cv**exp operator / How it works...
• cv**FeatureDetector abstract class / The feature detector's common interface
• cv**findContours function / How to do it..., There's more...
• cv**findFundamentalMat function / Refining the fundamental matrix
• cv**findHomography method / How it works...
• cv**fitEllipse function / There's more...
• cv**fitLine function / How to do it...
• cv**GaussianBlur function / How to do it...
• cv**GC_BGD / How to do it...
• cv**GC_FCD / How to do it...
• cv**GC_PR_BGD / How to do it...
• cv**GC_PR_FGD / How to do it...
• cv**getDerivKernels function / How to do it...
• cv**getPerspectiveTransform function / Detecting planar targets in an image
• cv**getTickCount() function / How to do it...
• cv**getTickFrequency() method / How to do it...
• cv**GoodFeaturesToTrackDetector class / The feature detector's common interface
• cv**goodFeaturesToTrack function / Good features to track
• cv**grabCut function / How to do it...
• cv**HoughCircles function / Detecting circles
• cv**HoughLines function / How to do it...
• cv**HoughLinesP function / How to do it...
• cv**InputArray / The input and output arrays
• cv**integral function / Visual tracking using histograms
• cv**Keypoint class / The feature detector's common interface
• cv**Laplacian function / How to do it...
• cv**line function / How to do it...
• cv**log operator / How it works...
• cv**LUT function / How to do it...
• cv**matchTemplate function
  • about / How to do it..., There's more...
• cv**Mat class / How it works...
• cv**Mat data structure
  • exploring / Exploring the cv::Mat data structure, How to do it...
  • working / How it works...
  • input array / The input and output arrays
  • output array / The input and output arrays
  • IplImage structure / The old IplImage structure
  • old IplImage structure / The old IplImage structure
• cv**Mat_ template class / The cv::Mat_ template class
• cv**max operator / How it works...
• cv**merge function / Splitting the image channels
• cv**minAreaRect function / How it works..., There's more...
• cv**min operator / How it works...
• cv**moments function / How it works...
• cv**morphologyEx function / How to do it...
• cv**MSER / How to do it...
• cv**multiply function / How it works...
• cv**OutputArray / The input and output arrays
• cv**Point2f function / How to do it...
• cv**Point function / How to do it...
• cv**pointPolygonTest function / There's more...
• cv**Point structure / Drawing on images
• cv**polylines function / How to do it...
• cv**pow operator / How it works...
• cv**Range structure / How it works...
• cv**saturate_cast function / How it works...
• cv**saturate_cast function
  • about / Overloaded image operators
• cv**Scalar function
  • about / Overloaded image operators
• cv**sepFilter2D function / How it works...
• cv**sqrt operator / How it works...
• cv**subtract function / How it works...
• cv**sum function / How to do it...
• cv**Vec3b / How it works...
• cv**VideoCapture object / How it works..., How it works...
• cv**VideoWriter class
  • using / How to do it...
• cv**waitKey function / How it works..., There's more...
• cv**watershed function / How it works...
• cvLoadImage function / The old IplImage structure

D

• 1D Gaussian function
  • about / How it works...
• 2D Gaussian filter
  • applying, on image / How it works...
• depth of field / Image formation
• descriptors / Introduction
• Difference of Gaussians (DoG)
  • about / Difference of Gaussians
• dilation
  • about / How it works...
• directional filters
  • applying, for detecting edges / Applying directional filters to detect edges, How to do it..., How it works...
• distance, between color vectors
  • computing / Computing the distance between two color vectors
• distance thresholding / Distance thresholding
• distinctive regions
  • extracting, MSER used / Extracting distinctive regions using MSER, How to do it..., How it works...
• downsampling
  • image / Downsampling an image

E

• edge detection
  • directional filters, applying for / Applying directional filters to detect edges, How to do it..., How it works...
  • performing / Applying directional filters to detect edges
• empty method / How to do it...
• epipolar constraint / How it works...
• epipolar line / Getting ready
• epipole / Getting ready
• erosion
  • about / How it works...
• extrinsic parameters / How it works...

F

• FAST
  • about / Detecting features quickly
• FAST-9 corner detector
  • about / How it works...
• FAST feature detector
  • about / How it works...
• FAST features
  • detecting, at at multiple scales / Detecting FAST features at multiple scales, How it works...
• feature descriptors
  • about / Describing local intensity patterns
• feature detectors' common interface / The feature detector's common interface
• feature point matching
  • about / Matching local templates
• feature points
  • about / Introduction
  • tracking, in video / Tracking feature points in a video, How to do it..., How it works...
• features
  • used, for tracking application / Good features to track
  • quick detection / Detecting features quickly, How it works...
• field of view / Calibrating a camera
• filter
  • about / Introduction
• filtering
  • about / Introduction
• foreground objects
  • extracting, with GrabCut algorithm / Extracting foreground objects with the GrabCut algorithm, How to do it..., How it works...
  • extracting, in video / Extracting the foreground objects in a video, How to do it..., How it works...
• frame rate
  • about / Introduction
• frames
  • about / Introduction
• FREAK
  • about / FREAK
• frequency domain
  • about / Introduction
• frequency domain analysis
  • about / Introduction
• function object
  • about / The functor or function object
• functor
  • about / The functor or function object
• fundamental matrix
  • refining / Refining the fundamental matrix
• fundamental matrix, of image pair
  • computing / Computing the fundamental matrix of an image pair, Getting ready, How to do it..., How it works...
• fundamental optical flow constraint equation / How it works...

G

• Gaussian derivatives
  • about / Gaussian derivatives
• getImageOfHistogram method / How to do it...
• GrabCut algorithm
  • used, for extracting foreground objects / Extracting foreground objects with the GrabCut algorithm, How to do it..., How it works...
  • about / Extracting foreground objects with the GrabCut algorithm
• gradient / How it works...
• gradient operators
  • about / Gradient operators
  • Prewitt operator / Gradient operators
  • Roberts operator / Gradient operators
  • Scharr operator / Gradient operators
• Graph Cuts algorithm / How it works...
• gray-level histogram
  • computing / How to do it...

H

• Hamming norm
  • about / How to do it...
• highgui module / How it works..., There's more...
• histogram
  • about / Computing the image histogram
  • computing / How to do it...
  • stretching / Stretching a histogram to improve the image contrast
  • backprojecting / Backprojecting a histogram to detect specific image content, How to do it..., How it works...
• histogram, of color images
  • computing / Computing histograms of color images
• Histogram1D class / There's more...
• histogram backprojection
  • about / Backprojecting a histogram to detect specific image content, How to do it...
• histogram comparison
  • used, for retrieving similar images / Retrieving similar images using the histogram comparison, How to do it...
  • working / How it works...
• histogram equalization
  • about / Equalizing the image histogram
  • performing / How to do it..., How it works...
• histograms
  • visual tracking / Visual tracking using histograms
• homogeneous coordinates / How it works...
• homography
  • computing, between two images / Computing a homography between two images, Getting ready, How to do it..., How it works...
  • about / Getting ready
  • planar targets, detecting in image / Detecting planar targets in an image
• Hough transform
  • used, for detecting lines in images / Detecting lines in images with the Hough transform, How to do it..., How it works...
  • about / Detecting lines in images with the Hough transform
• HSB color space
  • about / How it works…
• HSV color space
  • about / There's more…
• hue
  • about / How to do it…, How it works…
• hysteresis thresholding / How it works...

I

• image
  • remapping / Remapping an image, How it works...
  • corners, detecting / Detecting corners in an image, How to do it..., How it works...
• image-scanning loops
  • writing / Writing efficient image-scanning loops, How it works...
• image-scanning process
  • implementing, pointers used / Scanning an image with pointers, Getting ready, How to do it..., How it works...
  • implementing, iterators used / Scanning an image with iterators, How to do it..., How it works...
  • with neighbor access / Scanning an image with neighbor access, How to do it..., How it works..., There's more...
• image arithmetic
  • performing / Performing simple image arithmetic, How to do it..., How it works...
• image arithmetic operators
  • using / Performing simple image arithmetic
• image channels
  • splitting / Splitting the image channels
• image contours
  • detecting, with Canny operator / Detecting image contours with the Canny operator, How to do it..., How it works...
• image emboss effect / How to do it...
• image histogram
  • computing / Computing the image histogram, How to do it..., How it works...
  • equalizing / Equalizing the image histogram, How to do it..., How it works...
• image masks
  • using / Using image masks
• image pair
  • fundamental matrix, computing / Computing the fundamental matrix of an image pair, Getting ready, How to do it..., How it works...
• image patch
  • about / Matching local templates
• image plane / Image formation
• image pyramids / Downsampling an image
• images
  • loading / Loading, displaying, and saving images, How to do it..., How it works...
  • displaying / How to do it..., How it works...
  • saving / How to do it..., How it works...
  • clicking on / Clicking on images
  • drawing on / Drawing on images
  • ROI, defining / Defining regions of interest, How to do it..., How it works...
  • retrieving, histogram comparison used / Retrieving similar images using the histogram comparison, How to do it...
  • eroding, morphological filters used / Eroding and dilating images using morphological filters, How to do it..., How it works...
  • dilating, morphological filters used / Eroding and dilating images using morphological filters, How to do it..., How it works...
  • opening, morphological filters used / Opening and closing images using morphological filters, How it works...
  • closing, morphological filters used / Opening and closing images using morphological filters, How it works...
  • edges detecting, morphological filters used / Detecting edges and corners using morphological filters, How to do it..., How it works...
  • corners detecting, morphological filters used / Detecting edges and corners using morphological filters, How to do it..., How it works...
  • segmenting, watersheds used / Segmenting images using watersheds, How to do it..., How it works..., There's more...
  • filtering, low-pass filter used / Filtering images using low-pass filters, How to do it..., How it works...
  • downsampling / Downsampling an image
  • pixel values, interpolating / Interpolating pixel values
  • filtering, median filter used / Filtering images using a median filter, How it works...
  • contrast, enhancing with Laplacian / Enhancing the contrast of an image using the Laplacian
  • matching, random sample consensus used / Matching images using a random sample consensus, How to do it..., How it works...
• image sensor / Image formation
• in-place / How to do it..., How to do it...
• integral images
  • pixels, counting with / Counting pixels with integral images, How to do it..., How it works...
  • about / Counting pixels with integral images, There's more...
  • adaptive thresholding / Adaptive thresholding
  • visual tracking, with histograms / Visual tracking using histograms
• Integrated Development Environment (IDE) / How to do it...
• Intel Threading Building Blocks (TBB) / There's more…
• IPL (Intel Image Processing) library / The old IplImage structure
• IplImage structure
  • using / The old IplImage structure
  • converting, to cv**Mat object / The old IplImage structure
• IPP (Intel Integrated Performance Primitive) library / The old IplImage structure
• iterators
  • used, for image-scanning process / Scanning an image with iterators, How to do it..., How it works...

K

• kernel / How it works...
• keypoints
  • about / Introduction
  • describing, with binary features / Describing keypoints with binary features, How to do it..., How it works..., There's more...
• K kernel / How it works...

L

• L2 norm / How it works...
• Laplacian
  • about / Computing the Laplacian of an image, There's more...
  • used, for enhancing contrast of image / Enhancing the contrast of an image using the Laplacian
• Laplacian image
  • computing / How to do it..., How it works...
• Laplacian of Gaussian (LoG) / How it works...
• learning rate
  • about / Extracting the foreground objects in a video
• lines
  • detecting in images, with Hough transform / Detecting lines in images with the Hough transform, How to do it..., How it works...
  • fitting, to set of points / Fitting a line to a set of points, How to do it..., How it works...
• local intensity patterns
  • describing / Describing local intensity patterns, How to do it..., How it works...
• local templates
  • matching / Matching local templates, How to do it..., How it works...
• look-up table
  • applying on image / Applying look-up tables to modify the image appearance, How it works...
  • about / How to do it...
  • applying, on color images / Applying a look-up table on color images
• low-level pointer arithmetics
  • about / Low-level pointer arithmetics
• low-pass filters
  • used, for filtering images / Filtering images using low-pass filters, How to do it..., How it works...
  • about / There's more...

M

• makefiles / How to do it...
• mask / How it works...
• matches
  • cross-checking / Cross-checking matches
  • refining / Refining the matches
• mathematical morphology
  • about / Introduction
• mean shift algorithm
  • about / Using the mean shift algorithm to find an object
  • using / How to do it..., How it works...
• median filter
  • used, for filtering images / Filtering images using a median filter, How it works...
  • about / How it works...
• minimum enclosing circle / How it works...
• Mixture of Gaussian method
  • about / The Mixture of Gaussian method
• Model
  • about / The Model-View-Controller architecture
• Model-View-Controller (MVC) architecture
  • about / The Model-View-Controller architecture
  • Model / The Model-View-Controller architecture
  • View / The Model-View-Controller architecture
  • Controller / The Model-View-Controller architecture
• moments / How it works...
• morphological filters
  • used, for eroding images / Eroding and dilating images using morphological filters, How to do it..., How it works...
  • used, for dilating images / Eroding and dilating images using morphological filters, How to do it..., How it works...
  • used, for opening images / Opening and closing images using morphological filters, How it works...
  • used, for closing images / Opening and closing images using morphological filters, How it works...
  • used, for detecting edges of image / Detecting edges and corners using morphological filters, How to do it..., How it works...
  • used, for detecting corners of image / Detecting edges and corners using morphological filters, How to do it..., How it works...
• mosaicking
  • about / How to do it...
• MSER
  • used, for extracting distinctive regions / Extracting distinctive regions using MSER, How to do it..., How it works...

N

• nearest neighbor strategy / Interpolating pixel values
• neighboring pixels
  • accessing, for image scanning / Scanning an image with neighbor access, How to do it..., How it works..., There's more...

O

• ++ operator / How it works...
• octave
  • about / The SIFT feature-detection algorithm
• OpenCV
  • about / Installing the OpenCV library
  • URL / Getting ready, There's more...
  • developer site, accessing / The OpenCV developer site
• OpenCV applications
  • running, with Qt / Running the example with Qt
• OpenCV developments
  • Qt, using for / Using Qt for OpenCV developments
• OpenCV functions
  • using / Using OpenCV functions
• OpenCV library
  • installing / Installing the OpenCV library, How to do it...
  • working / How it works...
  • opencv_core module / How it works...
  • opencv_imgproc module / How it works...
  • opencv_highgui module / How it works...
  • opencv_features2d module / How it works...
  • opencv_calib3d module / How it works...
  • opencv_video module / How it works...
  • opencv_objdetect module / How it works...
  • online documentation / There's more...
• opencv_calib3d module / How it works...
• opencv_core module / How it works...
• opencv_features2d module / How it works...
• opencv_highgui module / How it works...
• opencv_imgproc module / How it works...
• opencv_objdetect module / How it works...
• opencv_video module / How it works...
• opening / How it works...
• OpenMP / There's more…
• ORB (Oriented FAST and Rotated BRIEF)
  • about / Detecting FAST features at multiple scales, The ORB feature-detection algorithm
• ORB algorithm
  • about / How it works...
• ORB detector
  • about / The ORB feature-detection algorithm
• ORB feature-detection algorithm
  • about / The ORB feature-detection algorithm
• overloaded image operators
  • about / Overloaded image operators

P

• phenomenal color spaces / Representing colors with hue, saturation, and brightness
• pin-hole camera model / Image formation
• pixels
  • about / Introduction
  • counting, with integral images / Counting pixels with integral images, How to do it..., How it works...
• pixel values
  • accessing / Accessing pixel values, How to do it..., How it works...
• pointer arithmetic
  • about / Scanning an image with pointers
• pointers
  • used, for image-scanning process / Scanning an image with pointers, Getting ready, How to do it..., How it works...
• polygonal approximation / How it works...
• Prewitt operator
  • about / Gradient operators
• principal point / Calibrating a camera
• processing modules
  • communicating with, Controller design pattern used / Using a Controller design pattern to communicate with processing modules, How to do it…, How it works…
• ρ parameter / Getting ready

Q

• Qt
  • about / Using Qt for OpenCV developments
  • using / Using Qt for OpenCV developments
  • benefits / Using Qt for OpenCV developments
  • download link / Using Qt for OpenCV developments
  • used, for running OpenCV applications / Running the example with Qt
• quadrilaterals
  • detecting / Quadrilateral detection

R

• radial distortion / How it works...
• radiusMatch method / Distance thresholding
• random sample consensus
  • used, for matching images / Matching images using a random sample consensus, How to do it..., How it works...
• RANSAC (RANdom SAmpling Consensus) / How it works...
• ratio test
  • performing / The ratio test
• re-projection error / How it works...
• remapping
  • images / Remapping an image, How it works...
• resolution / Calibrating a camera
• RGB color space
  • about / Getting ready
• Roberts operator
  • about / Gradient operators
• ROI
  • defining / Defining regions of interest, How to do it..., How it works...
• running average
  • about / Extracting the foreground objects in a video

S

• salt-and-pepper noise / Getting ready
• saturation
  • about / How to do it…, How it works…
  • computing / How it works…
• scale-invariant features
  • detecting / Detecting scale-invariant features, How to do it..., How it works...
• Scharr operator
  • about / Gradient operators
• set of points
  • lines, fitting to / Fitting a line to a set of points, How to do it..., How it works...
• SIFT (Scale-Invariant Feature Transform)
  • about / There's more...
• SIFT feature-detection algorithm
  • about / The SIFT feature-detection algorithm
• Signals and Systems theory
  • about / Introduction
• skin tone detection
  • performing / Using colors for detection – skin tone detection
• Sobel filter
  • using / How to do it...
  • about / How to do it...
• Sobel operator / How to do it...
  • working / How it works...
• spatial aliasing / Downsampling an image
• spatial domain
  • about / Introduction
• Standard Template Library (STL)
  • about / Scanning an image with iterators
• std**Vec6f function / How it works...
• std**vector function / How to do it...
• stereovision / Computing the fundamental matrix of an image pair
• Strategy design pattern
  • about / Using the Strategy pattern in an algorithm design
  • using, in algorithm design / Getting ready, How to do it…, How it works…
• structuring element
  • about / Eroding and dilating images using morphological filters
• Sum of Squared Differences (SSD)
  • about / How to do it...
• support set / How it works...
• SURF
  • about / Detecting scale-invariant features
• SURF feature detector
  • about / How to do it...

T

• template matching
  • about / Template matching
• trace / How it works...
• trichromatic
  • about / Introduction

U

• unsigned characters / How it works...

V

• video
  • feature points, tracking / Tracking feature points in a video, How to do it..., How it works...
  • foreground objects, extracting / Extracting the foreground objects in a video, How to do it..., How it works...
• video frames
  • processing / Processing the video frames, How to do it..., How it works...
  • image sequence, processing / Processing a sequence of images
  • frame processor class, using / Using a frame processor class
• video sequences
  • reading / Reading video sequences, How to do it..., How it works...
  • writing / Writing video sequences, How to do it..., How it works..., There's more...
• View
  • about / The Model-View-Controller architecture
• visual tracking
  • histograms, used / Visual tracking using histograms

W

• watersheds
  • used, for segmenting images / Segmenting images using watersheds, How to do it..., How it works..., There's more...
• workspaces / How to do it...