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Applications of Evolutionary Computation in Image Processing and Pattern Recognition
This book presents the use of efficient Evolutionary Computation (EC) algorithms for solving diverse real-world image processing and pattern recognition problems. It provides an overview of the different aspects of evolutionary methods in order to enable the reader in reaching a global understanding...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | Intelligent Systems Reference Library,
100 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Introduction
- Image Segmentation Based on Differential Evolution Optimization.-Motion Estimation Based on Artificial Bee Colony (ABC)
- Ellipse Detection on Images Inspired by the Collective Animal Behavior
- Template Matching by Using the States of Matter Algorithm
- Estimation of Multiple View Relations Considering Evolutionary Approaches
- Circle Detection on Images Based on an Evolutionary Algorithm that Reduces the Number of Function Evaluations
- Otsu and Kapur Segmentation Based on Harmony Search Optimization
- Leukocyte Detection by Using Electromagnetism-Like Optimization
- Automatic Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms.