The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas.
ISBN: | 9789811508523 |
Publication date: | 6th November 2019 |
Author: | Jyotismita Chaki, Nilanjan Dey |
Publisher: | Springer Verlag, Singapore |
Format: | Paperback |
Pagination: | 100 pages |
Series: | SpringerBriefs in Computational Intelligence |
Genres: |
Artificial intelligence Electronics engineering Digital signal processing (DSP) Computer vision |