Image Pattern Recognition: Fundamentals and Applications

This book discusses texture-dependent image patterns for image retrieval, focusing on local neighborhood pixels to create feature vectors. It presents improved directional local extrema patterns, local quantized extrema patterns, local color oppugnant quantized extrema patterns, and local mesh quantized extrema patterns. Evaluation metrics are calculated using standard databases. It serves as a practical guide for students and researchers.

Format: Hardback
Length: 184 pages
Publication date: 14 January 2022
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the realm of image patterns, exploring a diverse range of techniques for image retrieval. Each pattern is intricately linked to texture, emphasizing the importance of texture-based analysis. Among the discussed patterns are Improved Directional Local Extrema Patterns, Local Quantized Extrema Patterns, Local Color Oppugnant Quantized Extrema Patterns, and Local Mesh Quantized Extrema Patterns. These patterns stand out by focusing on the local neighborhood of pixels to create feature vectors, deviating from traditional approaches that rely solely on global features.

To evaluate the effectiveness of these patterns, rigorous testing is conducted using standard databases such as Corel-1k, Corel-5k, and MIT VisTex. The evaluation metrics, including precision and recall, provide valuable insights into the performance of the proposed methods.

Notably, this book serves as a valuable resource for both students and researchers, offering practical guidance and insights into the field of image pattern recognition. It provides a solid foundation for those seeking to advance their knowledge and expertise in this area.

Weight: 446g
Dimension: 159 x 241 x 19 (mm)
ISBN-13: 9780367642167