Computer Vision Methods for Fast Image Classification and Retrieval

1. Front Matter

   Pages i-ix

   PDF

2. Introduction

   • Rafał Scherer

   Pages 1-5

3. Feature Detection

   • Rafał Scherer

   Pages 7-32

4. Image Indexing Techniques

   • Rafał Scherer

   Pages 33-82

5. Novel Methods for Image Description

   • Rafał Scherer

   Pages 83-105

6. Image Retrieval and Classification in Relational Databases

   • Rafał Scherer

   Pages 107-136

7. Concluding Remarks and Perspectives in Computer Vision

   • Rafał Scherer

   Pages 137-137

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.

• Computational Intelligence
• Computer Vision
• Feature Detection
• Image Indexing Techniques
• Image Description
• Relational Databases

• Institute of Computational Intelligence, Częstochowa University of Technology, Częstochowa, Poland

  Rafał Scherer

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