Hybrid Soft Computing for Multilevel Image and Data Segmentation
Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Artificial Intelligence, General Computing
| Author: | Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta | ISBN: | 9783319475240 |
| Publisher: | Springer International Publishing | Publication: | November 25, 2016 |
| Imprint: | Springer | Language: | English |
| Author: | Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta |
| ISBN: | 9783319475240 |
| Publisher: | Springer International Publishing |
| Publication: | November 25, 2016 |
| Imprint: | Springer |
| Language: | English |
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.
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.
