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phu_grassman

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快乐岛、布吉岛岛主

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RXMCDM: 金币+5, 多谢应助！ 2014-08-30 23:14:59
xiuzi0731: 金币+15, 翻译EPI+1, ★★★很有帮助 2014-08-31 01:35:18

Threshold processing is a kind of regional segmentation method. A suitable threshold can be chosen based on the gray-scale differences between the target object and the background in the image. By judging whether each pixel attribute satisfies the threshold requirements, one can determine the pixel of the image belongs to the target area or the background area. This results in a binary image, the object image and the background image with a strong contrast. The core issue in threshold segmentation is how to choose a suitable threshold value, which has also become the hotspot in image processing, and led to a variety of threshold selection methods. Wu et al. proposed a mathematical morphology method. They suggested the erosion operation with minimum cost function under the premise of iterative automatic segmentation algorithms. In this paper, we proposed the best iterative thresholding algorithm and the corrosion algorithm to segment the microscopic image of histocyte combined with Wu's algorithm.

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