Bio-Inspired Algorithms for Image Processing

Dear Colleagues,

In the field of image processing, there are several hard problems without exact solutions due to incomplete or imperfect information and limited computation capacity. Some methods of the different subfields (classification, feature extraction, pattern recognition, segmentation, etc.) are based on the process of natural selection, the behavior of living creatures, or especially on the mechanisms of the brain. It is also worth mentioning that in the case of traditional procedural image processing methods, where the algorithms are well-defined, the parametrization can be challenging, if not impossible. This step can be formalized as an optimization problem, where the application of heuristics is necessary for addressing such highly complex problems to provide feasible solutions in acceptable runtime. Many of these optimization techniques are also inspired by nature.

In this Special Issue of "Bio-inspired Algorithms for Image Processing", we seek original research or results of practical applications from the area of bio-inspired algorithms in the field of image processing. We are waiting for manuscripts discussing evolutional (genetic algorithms, NSGA, etc.), swarm intelligence-based (particle swarm optimization, ant colony optimization, fireworks, etc.) and brain-inspired computing (neural networks, deep learning, etc.) methods applied in any kind of image processing research projects (classification, segmentation, medical image processing, etc.).

Dr. Sandor Szenasi
Dr. Gábor Kertész
Guest Editors

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