SLIC Super Pixel Image Segmentation Method Based on Multi-feature Fusion

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Integrated Circuits and Embedded Systems ›› 2023, Vol. 23 ›› Issue (3) : 28-32.

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SLIC Super Pixel Image Segmentation Method Based on Multi-feature Fusion

Du Yating^1,2,3, Yang Ming^1,2,3, Li Xi^1,2,3

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Abstract

In order to further improve the segmentation accuracy and get better visual results,an image segmentation method that combined simple linear iterative clustering(SLIC) algorithm with multiple features and FCM-PCM is proposed in the paper.Firstly,the local homogeneity features and texture features are fused into the traditional SLIC algorithm features,and a multi-feature SLIC superpixel segmentation algorithm (SLICHT) is proposed.Then,FCM-PCM algorithm is used to cluster and merge the superpixel blocks obtained by SLICHT superpixel segmentation algorithm to realize image segmentation.Compared with other image segmentation methods,the experiment results show good performance in segmentation accuracy and visual effects.

Key words

image segmentation / superpixel / SLIC / FCM-PCM / fabric images

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Du Yating, Yang Ming, Li Xi. SLIC Super Pixel Image Segmentation Method Based on Multi-feature Fusion[J]. Integrated Circuits and Embedded Systems. 2023, 23(3): 28-32

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