Image Pattern Recognition - L Koteswara Rao, Md. Zia Ur Rahman, P Rohini

Image Pattern Recognition

Fundamentals and Applications
Buch | Hardcover
184 Seiten
2022
CRC Press (Verlag)
978-0-367-64216-7 (ISBN)
105,95 inkl. MwSt
The comprehensive textbook discusses fundamental of data retrieval, image retrieval using extrema patterns in a single volume. It will serve as an ideal study material for senior undergraduate and graduate students in the fields of electrical engineering and electronics and communications engineering.
This book describes various types of image patterns for image retrieval. All these patterns are texture dependent. Few image patterns such as Improved directional local extrema patterns, Local Quantized Extrema Patterns, Local Color Oppugnant Quantized Extrema Patterns and Local Mesh quantized extrema patterns are presented. Inter-relationships among the pixels of an image are used for feature extraction. In contrast to the existing patterns these patterns focus on local neighborhood of pixels to creates the feature vector. Evaluation metrics such as precision and recall are calculated after testing with standard databases i.e., Corel-1k, Corel-5k and MIT VisTex database. This book serves as a practical guide for students and researchers.

-The text introduces two models of Directional local extrema patterns viz.,






Integration of color and directional local extrema patterns



Integration of Gabor features and directional local extrema patterns.

-Provides a framework to extract the features using quantization method

-Discusses the local quantized extrema collected from two oppugnant color planes

-Illustrates the mesh structure with the pixels at alternate positions.

L Koteswara Rao is currently working as a professor, department of electronics and communication engineering, K L University, Telangana, India. He has more than 18 years of teaching and research experience. He has published more than 30 papers in various reputed national, international journals and conferences. His research interests include image processing, signal processing, embedded systems, and the Internet of Things (IoT). Md Zia Ur Rahman is presently working as a professor, department of electronics and communication engineering, K L University, Andhra Pradesh, India. His current research interests include adaptive signal processing, biomedical signal processing, medical imaging, array signal processing, MEMS, Nanophotonics. He has published more than 100 research papers in various journals and proceedings and authored 2 books. He is serving in various editorial boards in the capacity of editor in chief, associate editor, reviewer for publishers like IEEE, Elsevier, Springer, American Scientific Publishers, etc. P Rohini is currently working as an assistant professor, department o computer science engineering, ICFAI University, Hyderabad, India. She has 14 years of teaching experience. Her research interests include image processing, data mining, and deep learning.

1. Introduction. 2. Features used for Image Retrieval. 3. Improved Directional Local Extrema Patterns for CBIR. 4. Local Quantized Extrema Patterns. 5. Local Color Oppugnant Quantized Extrema Patterns. 6. Local Mesh Quantized Extrema Patterns. 7. Local Patterns for Feature Extraction. 8. Applications of Image Pattern Recognition. 9. Conclusions and Future Scope.

Erscheinungsdatum
Zusatzinfo 23 Tables, black and white; 82 Line drawings, black and white; 22 Halftones, black and white; 104 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Gewicht 453 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
ISBN-10 0-367-64216-6 / 0367642166
ISBN-13 978-0-367-64216-7 / 9780367642167
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
alles zum Drucken, Scannen, Modellieren

von Werner Sommer; Andreas Schlenker

Buch | Softcover (2024)
Markt + Technik Verlag
24,95
Einstieg und Praxis

von Werner Sommer; Andreas Schlenker

Buch | Softcover (2023)
Markt + Technik (Verlag)
19,95