In this recipe, you will learn how to classify textures using Gabor filter banks with scikit-image's filter module's functions. Frequency and orientation are two key parameters of the Gabor filter, which detects the presence of a given frequency content in an image in a given direction around the ROI neighborhood. The Gabor kernel has both a real and an imaginary part, where the real part is used to filter images. The features to be used for (texture) classification are the mean and variance (often based on LSE) of a filtered image. The Gabor filter's impulse response is a product of a sinusoidal function and a Gaussian function, as shown in the following image:
Python Image Processing Cookbook
By :
Python Image Processing Cookbook
By:
Overview of this book
With the advancements in wireless devices and mobile technology, there's increasing demand for people with digital image processing skills in order to extract useful information from the ever-growing volume of images. This book provides comprehensive coverage of the relevant tools and algorithms, and guides you through analysis and visualization for image processing.
With the help of over 60 cutting-edge recipes, you'll address common challenges in image processing and learn how to perform complex tasks such as object detection, image segmentation, and image reconstruction using large hybrid datasets. Dedicated sections will also take you through implementing various image enhancement and image restoration techniques, such as cartooning, gradient blending, and sparse dictionary learning. As you advance, you'll get to grips with face morphing and image segmentation techniques. With an emphasis on practical solutions, this book will help you apply deep learning techniques such as transfer learning and fine-tuning to solve real-world problems.
By the end of this book, you'll be proficient in utilizing the capabilities of the Python ecosystem to implement various image processing techniques effectively.
Table of Contents (11 chapters)
Preface
Image Manipulation and Transformation
Free Chapter
Image Enhancement
Image Restoration
Binary Image Processing
Image Registration
Image Segmentation
Image Classification
Object Detection in Images
Face Recognition, Image Captioning, and More
Other Books You May Enjoy
Customer Reviews