Soft Computing for Image and Multimedia Data Processing
Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles. This book...
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| 主要な著者: | , |
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| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | English |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| 版: | 1st ed. 2013. |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-642-40255-5 |
| タグ: |
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目次:
- Chap. 1 Introduction
- Chap. 2 Transformation-Invariant Image Recognition Using Multilayer Perceptron
- Chap. 3 Energy Efficient Intelligent Lighting Control Using a Multilayer Perceptron
- Chap. 4 Target Tracking Using Fuzzy Hostility Induced Segmentation of Optical Flow Field
- Chap. 5 Binary Object Extraction by Bidirectional Self-organizing Neural Network Architecture
- Chap. 6 Multilevel Object Extraction by BDSONN Architecture
- Chap. 7 Color Object Extraction by Parallel BDSONN Architecture
- Chap. 8 Gray-Scale Image Edge Detection Using Rough Sets
- References
- Index.