Guest Editors
Dr. Diego Oliva, Universidad de Guadalajara, Mexico
Dr. Saul Zapotecas-Martinez, Instituto Nacional de Astrofisica Óptica y Electrónica Tonantzintla Puebla, Mexico
Dr. Seyed Jalaleddin Mousavirad, Mid Sweden University, Sweden
Summary
The use of images and videos has widely increased in the last few years. Cameras are an extension of the human vision sense. However, analyzing the scenes could be time-consuming, especially for some specific tasks. The use of intelligent algorithms is a way to help in the analysis of the scenes in mages or videos. Computational tools such as metaheuristics, soft computing, and machine learning are employed to overcome the drawbacks of classical image processing tools. This Special Issue is a collection of implementations and hybridizations of machine learning and metaheuristics in solving complex problems in image processing and computer vision. Recent advantages among the areas are included. Besides, literature reviews and surveys are also included to study the importance of the related areas and applications extensively.
Keywords
Metaheuristic Algorithms, Evolutionary Computation, Single Objective Methods, Multi-Objective Optimization, Image Processing, Computer Vision, Machine Learning
Published Papers
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