| 书目名称 | Texture Feature Extraction Techniques for Image Recognition |
| 编辑 | Jyotismita Chaki,Nilanjan Dey |
| 视频video | |
| 概述 | Provides details of the need for image shape features in CBIR.Highlights different texture extraction methods, like statistical, structural, model-based and signal-processed.Addresses various applicat |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2020 |
| 关键词 | Texture Features; Markov Model; Wavelet Transform; Statistical Texture Features; Walsh Transform |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-0853-0 |
| isbn_softcover | 978-981-15-0852-3 |
| isbn_ebook | 978-981-15-0853-0Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020 |
发表于 2025-3-21 17:50:32
