Article
type: Class

Document
type: Class

Academic Article
type: Class

Information Content Entity
type: Class

Continuant
type: Class

Entity
type: Class

Generically Dependent Continuant
type: Class

RDF description of Automatic computing of number of clusters for color image segmentation employing fuzzy c-means by extracting chromaticity features of colors - http://localhost:8080/source/vi97568
type: Document
rights: termsOfUse
date: 2026-08-12T01:35:41
publisher: Automatic computing of number of clusters for color image segmentation employing fuzzy c-means by extracting chromaticity features of colors

Automatic computing of number of clusters for color image segmentation employing fuzzy c-means by extracting chromaticity features of colors
type: Academic Article
type: Thing
abstract: In this paper we introduce a method for color image segmentation by computing automatically the number of clusters the data, pixels, are divided into using fuzzy c-means. In several works the number of clusters is defined by the user. In other ones the nu
type: Continuant
type: Document
type: Article
related by: s_107506
related by: s_107508
doi: 10.1007/s10044-018-0729-9
related by: s_107507
type: Information Content Entity
most specific type: Academic Article
ARG_2000028: uri vi97568
type: Entity
type: Generically Dependent Continuant
related by: s_107509