On the use of image data information for getting a brightness' perceptual fuzzy model

Abstract

The basic difference between human and machine vision systems may be briefly summarized as %mans recognize, machines measure" 111. However, it is not possible to simply transfer or copy the capability of human biological vision to machine vision systems. So, it is a very difficult task to design an artificial system to segment an image, based on the information supplied by the gray-level of the pixels of the image. The gray-level of the pixels within an image displays a high variability level, and it is not homogeneous across the image. Moreover, typical effects as noise, and non-uniform illumination have to be considered.Aforementioned capability of human vision system, for recognizing and discriminating brightness levels, has been considered in present work for the design of a fuzzy vision model which improves the performance of Brightness feature within image processing systems. Based on a set of rules and the data provided by the image, the proposed model derives a fuzzy set for each Brightness label.

Merging Pixels' Location and Illumination Levels Information for getting Automatic Fuzzy Perceptual Image Segmentation Algorithms

“…Step A is carried out as explained in [3] and [7]. The way we propose for solving steps B and C is summarized in next section.…”