Applications of Evolutionary Computation in Image Processing and Pattern Recognition
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Applications of Evolutionary Computation in Image Processing and Pattern Recognition
Perez-Cisneros, Marco; Cuevas, Erik; Zaldivar, Daniel
Springer International Publishing AG
11/2015
274
Dura
Inglês
9783319264608
15 a 20 dias
720
Descrição não disponível.
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.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Evolutionary Computation;Evolutionary Methods;Image Processing;Intelligent Systems;Pattern Recognition
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.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
