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.
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