NDLI: Segmenting Colour Images on the basis of a Fuzzy Hierarchical Approach

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Segmenting Colour Images on the basis of a Fuzzy Hierarchical Approach

Content Provider	Semantic Scholar
Author	Martínez, Jesús Chamorro Fernández, Daniel Felipe Sánchez Suárez, Belen Prados Perales, Elena Galán Miranda, María Amparo Vila
Copyright Year	2003
Abstract	In this paper we deal with two problems related to imprecision in colour image segmentation processes: to decide whether a set of pixels verify the property "to be homogeneously coloured", and to represent the set of possible segmentations of an image at dieren t precision levels. In order to solve the rst problem we introduce a measure of distance between colours in the CIE L a b space, that allows us to measure the degree of homogeneity of two pixels p and q on the basis of the maximum distance between the colours of consecutive pairs of pixels in any path linking p and q. Since homogeneity is a matter of degree, we dene a (fuzzy) segmentation of an image as a set of fuzzy regions, each of them being a fuzzy subset of pixels, that we obtain by using a region growing technique. The membership degree of each pixel to each region is calculated on the basis of our homogeneity measure. The second problem is solved by introducing a fuzzy similarity relation between the fuzzy regions in this initial segmentation. The dieren t -cuts of the similarity relation dene the set of precision levels, from which a nested hierarchy of fuzzy segmentations is nally obtained. Keyword: Colour image segmentation, fuzzy segmentation, hierarchical segmentation, colour distance.
Starting Page	101
Ending Page	115
Page Count	15
File Format	PDF HTM / HTML
Volume Number	10
Alternate Webpage(s)	http://decsai.ugr.es/vip/files/journals/ChamorroEtAl_Mathware2003.pdf
Alternate Webpage(s)	https://upcommons.upc.edu/bitstream/handle/2099/1740/article.pdf?isAllowed=y&sequence=1
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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