Computer Vision Methods for Fast Image Classifi : cation and Retrieval
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Overview
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 suitable 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.
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Details
- ISBN-13: 9783030121976
- ISBN-10: 3030121976
- Publisher: Springer
- Publish Date: October 2020
- Dimensions: 9.21 x 6.14 x 0.32 inches
- Shipping Weight: 0.48 pounds
- Page Count: 137
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