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An Image Segmentation Based on Adaptive Color Image and Color Threshold

Weichu Xiao, Weihong Chen


With the different colourful gradient operators, the binding algorithm has been applied to image segmentation. In order to make the color image of the edge detection operator in line with the resolution of the human eye on the image information and prevent the problem of the over-detection of the edge of the insensitive area, the paper has proposed the combination algorithm using the adaptive color image and value estimation method of color threshold. The construction has comprised with the partial chromatic aberration of the brightness mask and the contrast sensitivity threshold. The paper has proposed visual impact of the weight factor to solve some problems of image segmentation. It is combined with the brightness and colors’ information. The color of partial background is the spatial frequency of human vision. The experiment results have shown that the proposed algorithm can accurately detect the image edge and effectively resist noise image interference.


Adaptive Color Image, Color Threshold, Brightness, Contrast, Image Segmentation.

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