Texture Feature Extraction Techniques for Image Recognition
| Author | : Jyotismita Chaki |
| Publisher | : Springer Nature |
| Total Pages | : 109 |
| Release | : 2019-10-24 |
| ISBN-10 | : 9789811508530 |
| ISBN-13 | : 9811508534 |
| Rating | : 4/5 (534 Downloads) |
Book Synopsis Texture Feature Extraction Techniques for Image Recognition by : Jyotismita Chaki
Download or read book Texture Feature Extraction Techniques for Image Recognition written by Jyotismita Chaki and published by Springer Nature. This book was released on 2019-10-24 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
