A method of fine-grained image fuzzy main colour segmentation based on visual perception Online publication date: Fri, 09-Sep-2022
by Juanjuan Liu; Feng Gao
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 14, No. 2/3, 2022
Abstract: In order to overcome the low segmentation accuracy of traditional main colour segmentation methods, this paper proposes a fine-grained image fuzzy main colour segmentation method based on visual perception. The colour features of fine-grained graph are optimised by using visual perception technology, and the fine-grained region features are obtained through the maximum colour link region and the surrounding colour roughness of fine-grained graph. A bilateral filter is used to enhance the details of fine-grained image, and fuzzy clustering is applied to the time-domain difference image. The edge contour of the target image is cut through the edge detection step to obtain the foreground area and complete the colour segmentation. The experimental results show that the effect of image brightness preservation is good, the segmentation accuracy is close to 100%, JS value is close to 1, and the segmentation effect is good.
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