Computer Science ›› 2011, Vol. 38 ›› Issue (12): 278-280.

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Image Segmentation Based on Sobel Operator and Maximum Entropy Algorithm

  

  • Online:2018-12-01 Published:2018-12-01

Abstract: Image segmentation accuracy problem was researched. In traditional Sobel operator, image segmentation easi1y causes the image segmentation not clear, and contrast is not apparent, segmentation accuracy is low, so, the article put forward an improved Sobcl operator 2-d maximum entropy digital image segmentation method. Algorithm firstly makes image segmentation according to digital image characteristics, then Sobel operator is used to detect real digital image edge, and Sobel edge detection algorithm obtains the threshold value which is used to the 2-d maximum entropy image segmentation method. Based on digital image goals and objectives fringe parting, this paper used different threshold segmentation to solve the segmentation inaccurate problem produced by local image stack. Simulation experiments show that the proposed algorithm for image segmentation has good robustness,segmentation rate,which is an effective applicable algorithm.

Key words: Sobel operator, Maximum entropy algorithm, Image segmentation, Edge detection

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