Computer Vision Methods for Fast Image Classification and Retrieval - Rafal Scherer Gebunden

The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as 'hand-crafted features.' It introduces readers to novel rapid image description methods based on local and global features as well as several techniques for comparing images. Developing content-based image comparison retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book's main focus is on the application of these methods in a relational database context. The methods presented are su itable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering as well as a guide for computer vision researchers the book focuses on techniques that work under real-world large-dataset conditions.