Intuitionistic fuzzy local information C-means algorithm for image segmentation

Image segmentation allows us to separate an image into distinct, non-overlapping parts by utilizing specific features such as hue, texture, and shape. The technique is prevalent in different domains, including target detection, medical imaging, and pattern recognition owing to its importance in anal...

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Vydané v:	Information sciences Ročník 681; s. 121205
Hlavní autori:	Cui, Hanshuai, Xie, Zheng, Zeng, Wenyi, Ma, Rong, Zhang, Yinghui, Yin, Qian, Xu, Zeshui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.10.2024
Predmet:	Clustering Distance measure Fuzzy C-means algorithm Image segmentation Intuitionistic fuzzy set GKWFLICM nIFCM MRI IFLICM Fuzzy C-means algorithm RLFCM FLICM DSFCM_N mIFCM IFS Double DIP Distance measure IT2FCM IT2PFCM IFCM KWFLICM FCM_S2 FCM_S1 Clustering FCM Image segmentation Intuitionistic fuzzy set FGFCM IIFCM EnFCM FCM_S
ISSN:	0020-0255, 1872-6291
On-line prístup:	Získať plný text
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