Index

A

• ANNs (artificial neural networks) / Introducing machine learning concepts
• application
  • creating, for AOI / Creating an application for AOI
• automatic object inspection classification example
  • about / Automatic object inspection classification example

B

• background subtraction
  • about / Understanding background subtraction
  • naive background subtraction / Naive background subtraction
• basic CMake configuration files
  • about / Basic CMake configuration files
• basic data persistence
  • about / Basic data persistence and storage
• basic graphical user interface
  • with OpenCV / A basic graphical user interface with OpenCV
• basic matrix operations
  • about / Basic matrix operations
• basic object types
  • about / Other basic object types
  • vec object type / The vec object type
  • Scalar object type / The Scalar object type
  • Point object type / The Point object type
  • Size object type / The Size object type
  • Rect object type / The Rect object type
  • RotatedRect object type / RotatedRect object type
• Black Hat transform
  • about / Black Top-Hat transform
• blurring / The scene detection problem
• buttons
  • adding, to user interface / Adding buttons to a user interface

C

• cameras
  • reading / Reading videos and cameras
• cartoonize effect
  • about / The cartoonize effect
  • creating / The cartoonize effect
• classifiers / Text detection
• CMake
  • reference / Mac OS X
• CMake script file
  • generating / Generating a CMake script file
• complex script
  • creating / Making the script more complex
• Computer Vision applications
  • machine learning workflow / Computer Vision and the machine learning workflow
• connected component algorithm
  • about / The connected component algorithm
• connectedComponents function
  • about / The connected component algorithm
  • image parameter / The connected component algorithm
  • labels parameter / The connected component algorithm
  • connectivity parameter / The connected component algorithm
  • type parameter / The connected component algorithm
• connectedComponentsWithStats function
  • about / The connected component algorithm
  • Stats parameter / The connected component algorithm
  • CC_STAT_LEFT parameter / The connected component algorithm
  • CC_STAT_TO parameter / The connected component algorithm
  • CC_STAT_WIDTH parameter / The connected component algorithm
  • CC_STAT_HEIGHT parameter / The connected component algorithm
  • CC_STAT_AREA parameter / The connected component algorithm
  • Centroids parameter / The connected component algorithm
• Continuously Adaptive Meanshift / Building an interactive object tracker
• corner detection
  • about / Detecting points using the Harris corner detector
• corner point
  • about / Detecting points using the Harris corner detector
• CVPR (Computer Vision and Pattern Recognition) / How the text API works
• CV_GUI_EXPANDED flag
  • about / A basic graphical user interface with OpenCV
• CV_GUI_NORMAL flag
  • about / A basic graphical user interface with OpenCV

D

• datapath parameter / Creating a OCR function, Text recognition
• data storage
  • file storage, writing to / Writing to a file storage
• decision tree / Introducing machine learning concepts
• dependencies
  • managing / Managing dependencies
• dilation
  • about / Thickening the shapes
• drawER function / Text extraction
• Dynamic Link Libraries (DLLs) / Windows

E

• extremal regions
  • about / Extremal regions
  • filtering / Extremal region filtering

F

• facemask
  • overlaying, in live video / Overlaying a facemask in a live video
  • code / What happened in the code?
• feature-based tracking
  • about / Feature-based tracking
  • Lucas-Kanade method / The Lucas-Kanade method
  • Farneback algorithm / The Farneback algorithm
• feature extraction
  • about / Feature extraction
  • performing / Feature extraction
  • SVM model, training / Training an SVM model
  • input image prediction / Input image prediction
• feature points
  • about / Detecting points using the Harris corner detector
• findContours algorithm
  • about / The findContours algorithm
• flags / Text extraction
• frame differencing
  • about / Frame differencing
  • working / How well does it work?

G

• getRectSubPix function, arguments
  • IMAGE / Text extraction and skew adjustment
  • SIZE / Text extraction and skew adjustment
  • CENTER / Text extraction and skew adjustment
  • PATCH / Text extraction and skew adjustment
  • PATCH_TYPE / Text extraction and skew adjustment
• getRotationMatrix2D OpenCV function
  • CENTER parameter / Text extraction and skew adjustment
  • ANGLE parameter / Text extraction and skew adjustment
  • SCALE parameter / Text extraction and skew adjustment
• GitHub
  • URL / Installing Tesseract OCR on your operating system
• Good Features To Track
  • about / Shi-Tomasi Corner Detector
• graphical user interface
  • with QT / The graphical user interface with QT
  • creating / Creating the Graphical User Interface

H

• Haar cascades
  • about / Understanding Haar cascades
  • features / Understanding Haar cascades
• Harris corner detector
  • for detecting points / Detecting points using the Harris corner detector
• HDRI (High Dynamic Range Imaging) / Images and matrices
• Hierarchical Method for Oriented Text / Extremal region filtering
• histogram
  • about / Drawing a histogram
  • drawing / Drawing a histogram
• HSV (Hue Saturation Value) / Tracking objects of a specific color
• human visual system
  • about / Understanding the human visual system
  • image content, understanding / How do humans understand image content?

I

• illumination and shadows / The scene detection problem
• image color equalization
  • about / Image color equalization
• image parameter / Text extraction
• images
  • about / Images and matrices
  • reading/writing / Reading/writing images
• imread function
  • about / Reading/writing images
• imwrite function / Reading/writing images
• input channel / Text detection
• input image
  • preprocessing / Preprocessing the input image
  • noise removal / Noise removal
  • background, removing with light pattern for segmentation / Removing the background using the light pattern for segmentation
  • thresholding operation / The thresholding operation
• input image, segmenting
  • about / Segmenting our input image
  • connected component algorithm / The connected component algorithm
  • findContours algorithm / The findContours algorithm
• integral images
  • about / What are integral images?
• interactive object tracker
  • building / Building an interactive object tracker
• interest point
  • about / Detecting points using the Harris corner detector
• interest points
  • about / Detecting points using the Harris corner detector

K

• K-nearest neighbors / Introducing machine learning concepts

L

• language parameter / Creating a OCR function, Text recognition
• library
  • creating / Creating a library
• Linux
  • OpenCV, installing on / Linux
• loDiff parameter / Text extraction
• lomography effect
  • creating / Lomography effect
• Look up Table (LUT)
  • about / Lomography effect
  / Lomography effect

M

• Mac
  • Tesseract, installing / Installing Tesseract on Mac
• machine learning
  • concepts / Introducing machine learning concepts
  • about / Introducing machine learning concepts
• machine learning algorithm
  • classification / Introducing machine learning concepts
  • regression / Introducing machine learning concepts
  • clustering / Introducing machine learning concepts
  • density estimation / Introducing machine learning concepts
• machine learning class hierarchy
  • StatModel class / Introducing machine learning concepts
• machines
  • image content, challenges / Why is it difficult for machines to understand image content?
• Mac OS X
  • OpenCV, installing on / Mac OS X
• mask parameter / Text extraction
• matrices
  • about / Images and matrices
• maximally stable extremal regions (MSERs) / Text segmentation
• Mixture of Gaussians approach
  • about / The Mixture of Gaussians approach
  • code / What happened in the code?
• MOG2
  • about / The Mixture of Gaussians approach
• morphological image processing
  • about / Morphological image processing
  • underlying principle / What's the underlying principle?
• morphological operators
  • about / Other morphological operators
  • morphological opening / Morphological opening
  • morphological closing / Morphological closing
  • boundary, drawing / Drawing the boundary
  • Top Hat transform / White Top-Hat transform
  • Black Hat transform / Black Top-Hat transform
• mouse events and slider events
  • adding, to interfaces / Adding slider and mouse events to our interfaces
• MSERs (Maximally Stable Extremal Regions) / Extremal regions

N

• naive background subtraction
  • about / Naive background subtraction
  • working / Does it work well?
• negative samples / Understanding Haar cascades
• Neural Network approach / Introducing machine learning concepts
• newVal parameter / Text extraction
• nose
  • detecting, framework used / Tracking your nose, mouth, and ears

O

• objects
  • isolating, in scene / Isolating objects in a scene
• objects of specific color
  • tracking / Tracking objects of a specific color
• OCR
  • text preprocessing and segmentation / Introducing optical character recognition
  • text identification / Introducing optical character recognition
  • preprocessing step / The preprocessing step
  • text segmentation / Text segmentation
• OcrEngineMode
  • about / Creating a OCR function
  • OEM_TESSERACT_ONLY / Creating a OCR function
  • OEM_CUBE_ONLY / Creating a OCR function
  • OEM_TESSERACT_CUBE_COMBINED / Creating a OCR function
  • OEM_DEFAULT / Creating a OCR function
• OCR function
  • creating / Creating a OCR function
  • output, sending to file / Sending the output to a file
• oem parameter / Text recognition
• OpenCV
  • about / What can you do with OpenCV?
  • features / What can you do with OpenCV?
  • in-built data structures / In-built data structures and input/output
  • input/output / In-built data structures and input/output
  • image processing operations / Image processing operations
  • GUI, building / Building GUI
  • video analysis / Video analysis
  • 3D reconstruction / 3D reconstruction
  • feature extraction / Feature extraction
  • object detection / Object detection
  • machine learning / Machine learning
  • computational photography / Computational photography
  • shape analysis / Shape analysis
  • optical flow algorithms / Optical flow algorithms
  • face recognition / Face and object recognition
  • object recognition / Face and object recognition
  • surface matching / Surface matching
  • text detection and recognition / Text detection and recognition
  • installing / Installing OpenCV
  • URL / Windows
  • installing, on Windows / Windows
  • installing, on Mac OS X / Mac OS X
  • installing, on Linux / Linux
• OpenCV calcHist function
  • about / Drawing a histogram
• OpenCV document page, machine learning
  • reference / Introducing machine learning concepts
• OpenCV user interface
  • about / Introducing the OpenCV user interface
• OpenGL support
  • about / OpenGL support

P

• parameters, mat object
  • data / Creating a OCR function
  • width / Creating a OCR function
  • height / Creating a OCR function
  • bytes_per_pixel / Creating a OCR function
  • bytes_per_line / Creating a OCR function
• Path Editor
  • reference / Windows
• Point object type
  • about / The Point object type
• positive samples / Understanding Haar cascades
• predict method, StatModel class
  • about / Introducing machine learning concepts
  • samples parameter / Introducing machine learning concepts
  • results parameter / Introducing machine learning concepts
  • flags parameter / Introducing machine learning concepts
• preprocessing step, OCR
  • about / The preprocessing step
  • image, thresholding / Thresholding the image
• Prune Exhaustive Search / Extremal region filtering
• psmode parameter / Text recognition

R

• Rect object type
  • about / The Rect object type
• rect parameter / Text extraction
• regions / Text detection
• reinforcement learning
  • about / Introducing machine learning concepts
• ROI (region of interest)
  • about / The Rect object type
  / Text extraction
• RotatedRect object type
  • about / RotatedRect object type

S

• Scalar object type
  • about / The Scalar object type
• scene
  • objects, isolating / Isolating objects in a scene
• seedPoint parameter / Text extraction
• segmentation modes
  • PSM_OSD_ONLY / Creating a OCR function
  • PSM_AUTO_OSD / Creating a OCR function
  • PSM_AUTO_ONLY / Creating a OCR function
  • PSM_AUTO / Creating a OCR function
  • PSM_SINGLE_COLUMN / Creating a OCR function
  • PSM_SINGLE_BLOCK_VERT_TEXT / Creating a OCR function
  • PSM_SINGLE_BLOCK / Creating a OCR function
  • PSM_SINGLE_LINE / Creating a OCR function
  • PSM_SINGLE_WORD / Creating a OCR function
  • PSM_SINGLE_WORD_CIRCLE / Creating a OCR function
  • PSM_SINGLE_CHAR / Creating a OCR function
• shapes
  • slimming / Slimming the shapes
  • thickening / Thickening the shapes
• showHistoCallback function
  • about / Drawing a histogram
• Single Linkage Clustering / Text detection
• Size object type
  • about / The Size object type
• StatModel class
  • train method / Introducing machine learning concepts
  • predict method / Introducing machine learning concepts
  • isTrained() method / Introducing machine learning concepts
  • isClassifier() method / Introducing machine learning concepts
  • getVarCount() method / Introducing machine learning concepts
  • save(const string& filename) method / Introducing machine learning concepts
  • Ptr<_Tp> load(const string& filename) method / Introducing machine learning concepts
  • calcError(const Ptr<TrainData>& data, bool test, OutputArray resp) method / Introducing machine learning concepts
• sunglasses
  • overlaying, in live video / Get your sunglasses on
  • code / Looking inside the code
• supervised learning
  • about / Introducing machine learning concepts
• SVM (support vector machines) / Introducing machine learning concepts

T

• Tesseract
  • about / Installing Tesseract OCR on your operating system
  • installing / Installing Tesseract OCR on your operating system
  • installing, on Windows / Installing Tesseract on Windows
  • reference, for installer / Installing Tesseract on Windows
  • setting up, in Visual Studio / Setting up Tesseract in Visual Studio
  • import path, setting / Setting the import and library paths
  • library path, setting / Setting the import and library paths
  • linker, configuring / Configuring the linker
  • libraries, adding to windows path / Adding the libraries to the windows path
  • installing, on Mac / Installing Tesseract on Mac
• Tesseract OCR
  • installing, on operating system / Installing Tesseract OCR on your operating system
• Tesseract OCR library
  • using / Using Tesseract OCR library
  • OCR function, creating / Creating a OCR function
• text API
  • about / How the text API works
  • working / How the text API works
  • scene detection problem / The scene detection problem
  • extremal regions / Extremal regions
  • extremal region filtering / Extremal region filtering
  • using / Using the text API
  • text detection / Text detection
  • text extraction / Text extraction
  • text recognition / Text recognition
• text segmentation, OCR
  • about / Text segmentation
  • connected areas, creating / Creating connected areas
  • paragraph blocks, identifying / Identifying paragraph blocks
  • text extraction / Text extraction and skew adjustment
  • adjustment, skewing / Text extraction and skew adjustment
• Top Hat transform
  • about / White Top-Hat transform
• train method, StatModel class
  • about / Introducing machine learning concepts
  • trainData parameter / Introducing machine learning concepts
  • samples parameter / Introducing machine learning concepts
  • layout parameter / Introducing machine learning concepts
  • responses parameter / Introducing machine learning concepts
  • p parameter / Introducing machine learning concepts
  • flags parameter / Introducing machine learning concepts
• tri-dimensionality / The scene detection problem

U

• unsupervised learning
  • about / Introducing machine learning concepts
• upDiff parameter / Text extraction

V

• variety / The scene detection problem
• vec object type
  • about / The vec object type
• videos
  • reading / Reading videos and cameras

W

• warpAffine function
  • about / Text extraction and skew adjustment
• warpAffine function, arguments
  • SRC / Text extraction and skew adjustment
  • DST / Text extraction and skew adjustment
  • M / Text extraction and skew adjustment
  • SIZE / Text extraction and skew adjustment
  • FLAGS / Text extraction and skew adjustment
  • BORDER / Text extraction and skew adjustment
  • BORDER VALUE / Text extraction and skew adjustment
• whitelist parameter / Text recognition
• Windows
  • OpenCV, installing on / Windows
  • Tesseract, installing / Installing Tesseract on Windows
• WINDOW_AUTOSIZE flag
  • about / A basic graphical user interface with OpenCV
• WINDOW_FREERATIO flag
  • about / A basic graphical user interface with OpenCV
• WINDOW_KEEPRATIO flag
  • about / A basic graphical user interface with OpenCV
• WINDOW_NORMAL flag
  • about / A basic graphical user interface with OpenCV
• WINDOW_OPENGL flag
  • about / A basic graphical user interface with OpenCV