New method for jiaguwen image segmentation based on MRF and fuzzy clustering

机译：基于MRF和模糊聚类的佳固文图像分割新方法

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摘要

JiaGuWen image segmentation is a challenge because of their illegible writing, serious noises and broken strokes. We propose a new segmentation method based on MRF and fuzzy clustering because of their good performance in image segmentation. The segmentation is based on a new random function considering both ambiguity and spatial relationship of image pieds simultaneously. The New adaptive balance coefficient is computed according to the gray level of the considering pixel and the mean, standard deviation of the neighbor. The final value of the new random function is searching by iteration. The experiments show that the new method has good performance for JiaGuWen image segmentation.

机译：佳固文图像分割是一个挑战，因为它们的字迹模糊，严重的噪点和笔划损坏。由于它们在图像分割中的良好表现，我们提出了一种基于MRF和模糊聚类的新分割方法。分割基于新的随机函数，同时考虑了图像斑的模糊性和空间关系。根据考虑像素的灰度级和邻居的均值，标准差来计算新的自适应平衡系数。新随机函数的最终值是通过迭代搜索。实验表明，该新方法对夹骨文图像分割具有良好的性能。

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《2017 International Conference on Security, Pattern Analysis, and Cybernetics》|2017年|204-208|共5页
会议地点 Shenzhen(CN)
作者
He Xiaoju; Liao Zhiwu;
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作者单位

School of Aviation Engineering, Anyang University, China;

School of computer science, Sichuan Nomal University, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Image segmentation; Markov random fields; Clustering algorithms; Mathematical model; Security; Pattern analysis;

机译：图像分割;马尔可夫随机场;聚类算法;数学模型;安全性;模式分析;;

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New method for jiaguwen image segmentation based on MRF and fuzzy clustering

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