Color Image Segmentation Using Fuzzy C-means Clustering Algorithm

Provided by: Creative Commons
Topic: Data Management
Format: PDF
Fuzzy grouping methods, particularly Fuzzy C-Means (FCM) bunching calculation, have been generally utilized as a part of robotized picture division. In any case, as the traditional FCM calculation does not join any data about spatial setting, it is delicate to clamor. To beat this disadvantage of FCM calculation, a novel Punished Fuzzy C-Means (PFCM) calculation for picture division is exhibited in this paper. The calculation is planned by consolidating the spatial neighborhood data into the first FCM calculation with a punishment term.

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