Title :
Merging pixels´ location and illumination levels information for getting automatic fuzzy perceptual image segmentation algorithms
Author :
Grau, A. ; Sobrevilla, P. ; Montseny, E.
Author_Institution :
Dept. of Appl. Math., Tech. Univ. of Catalonia, Barcelona, Spain
Abstract :
Monochrome digital images have a discrete set of illumination levels. So, results of monochrome images segmentation algorithms could be notably improved if human being´s ability, for distinguishing these levels, would be considered within this type of algorithms. Although illumination levels provide a lot of information about the objects appearing within an image, to be considered within segmentation algorithms, gray levels constituting each illumination level has to be specified. As a part of our ongoing work for getting fuzzy perceptual segmentation algorithms, here we present a system for recognizing the image´s illumination levels wherein, with the aim of simplifying the problems and automating the process, besides the analysis of image´s gray levels histogram, location of the pixels associated with each histogram peak is also considered.
Keywords :
fuzzy systems; image segmentation; automatic fuzzy perceptual image segmentation; image gray level histogram analysis; image illumination level information; monochrome digital image; pixel location; Digital images; Fuzzy systems; Histograms; Humans; Image analysis; Image recognition; Image segmentation; Lighting; Merging; Pixel;
Conference_Titel :
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN :
0-7803-9187-X
DOI :
10.1109/NAFIPS.2005.1548563