Computational Intelligence in Image Processing

Computational Intelligence in Image Processing

Guest Editorial: Special Section on Computational Intelligence in Image Processing

This special section serves as a forum for recent developments in computational intelligence (CI) in image processing. CI covers a broad range of intelligent techniques. Although neural networks, fuzzy logic, and evolutionary computation have been recognized as the mainstream, other techniques incorporating human intelligence have also contributed to the evolution of CI. In image processing, CI...

Cellular neural networks and computational intelligence in medical image processing

The principal constituents of computational intelligence are fuzzy logic, neural networks and evolutionary algorithms, with emphasis in their mutual enhancement. The present paper reviews some applications of these formalisms in the area of medical image processing, where advantage is taken from the ability of fuzzy logic to work with imprecise information, the ability of neural networks to lea...

Computational Intelligence Techniques for Pattern Recognition in Biomedical Image Processing Applications

Medical image classification is one of the most widely used methodologies in the biomedical field for abnormality detection in the anatomy of the human body. Image classification belongs to the broad category of pattern recognition in which different abnormal images are grouped into different categories based on the nature of the pathologies. Nowadays, these techniques are automated and high ac...

SAR Image Processing Using Artificial Intelligence Planning

In recent times, improvements in imaging technology have made available an incredible array of information in image format. While powerful and sophisticated image processing software tools are available to prepare and analyze the data, these tools are complex and cumbersome, requiring significant expertise to properly operate. Thus, in order to extract (e.g., mine or analyze) useful information...