Hybrid Soft Computing for Multilevel Image and Data Segmentation - Sourav De,Susanta Chakraborty,Siddhartha Bhattacharyya,Paramartha Dutta
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This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures. This is a useful introduction and reference for researchers and graduate students of comput ... Full description
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Description
This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures. This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.
More Information
| Author | Sourav De, Susanta Chakraborty, Siddhartha Bhattacharyya, Paramartha Dutta |
|---|---|
| Publisher | Springer Nature Switzerland |
| Series | Computational Intelligence Methods and Applications |
| Release year | 2016 |
| Cover type | Hardcover |
| EAN | 9783319475233 |