Advances in Soft Computing and Machine Learning in Image Processing
This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide a...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2018, 2018
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| Edition: | 1st ed. 2018 |
| Series: | Studies in Computational Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Color Spaces Advantages and Disadvantages in Image Color Clustering Segmentation
- Multi-objective Whale Optimization Algorithm for Multi-level Thresholding Segmentation
- Evaluating Swarm Optimization Algorithms for Segmentation of Liver Images
- Thermal Image Segmentation Using Evolutionary Computation Techniques
- News Videos Segmentation Using Dominant Colors Representation