All Books

  1. home
  2. Books
image description

Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

By: Patricia Melin

Computer vision systems are made up of several stages in which they try to extract the information of the image. The stages and the purpose of its algorithms, depends on the application of the artificial vision system. Usually the systems are split in three main stages. The first stage is devoted to noise filtering, smoothing or contrast enhancement (it’s also known as preprocessing or low level vision), the second stage is devoted to image segmentation, to split objects or regions according to their characteristics (intermediate level vision). Third stage involves the understanding of the scene (high level vision). Uncertainty is present in every process of computer vision, therefore fuzzy techniques have been widely use in almost any of the processes. Extensions of fuzzy sets are not as specific as their counter-parts of fuzzy sets, but this lack of specificity makes them more realistic for some applications. Their advantage is that they allow us to express our uncertainty in id