Mahalanobis-distance Image Segmentation Based on Two-dimensional Histogram

机译：基于二维直方图的马氏距离图像分割

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摘要

In this paper a new image segmentation method is presented that use modified Mahalanobis-distance (M-Mahalanobis-distance) as a criterion to classify the pixels in the (gray level, average gray level) scatter plot. The experiment results show that this algorithm can give better segmentation results with stronger robustness and faster speed for an image with low contrast, many details and noises.

机译：在本文中，提出了一种新的图像分割方法，该方法使用改进的马氏距离（M-Mahalanobis-distance）作为标准来对（灰度，平均灰度）散点图中的像素进行分类。实验结果表明，对于对比度低，细节多，噪点少的图像，该算法具有较好的分割效果，鲁棒性强，速度快。

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来源
《Conference on Image Extraction, Segmentation, and Recognition Oct 22-24, 2001, Wuhan, China》|2001年|p.264-269|共6页
会议地点 Wuhan(CN)
作者
ZHANG Xinrong; ZUO Huili; YU Yongxin;
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作者单位

School of Electronic Information Engineering, Tianjin University Tianjin, China, 300072;

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会议组织
原文格式 PDF
正文语种 eng
中图分类无线电电子学、电信技术;
关键词
image segmentation; (gray level; average gray level) scatter plot; m-mahalanobis- distance;

机译：图像分割（灰度；平均灰度）散点图； m-马哈拉诺比斯距离;

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4. Mahalanobis-distance Image Segmentation Based on Two-dimensional Histogram [C] . YU Yongxin, ZUO Huili, ZHANG Xinrong Conference on image extracting, segmentation, and recognition . 2001

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6. Segmentation of phase contrast microscopy images based on multi-scale local Basic Image Features histograms [O] . N. Jaccard, N. Szita, L.D. Griffin -1

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7. Image Segmentation Based on Framework of Two-dimensional Histogram and Class Variance Criterion [O] . Fangyan Nie, Pingfeng Zhang 2015

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Mahalanobis-distance Image Segmentation Based on Two-dimensional Histogram

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