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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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.
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.
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.
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.
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