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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | Studies in Computational Intelligence,
730 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.