A Study on Color Space Selection for Determining Image Segmentation Region Number

机译：确定图像分割区域数的色彩空间选择研究

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摘要

When image segmentation is treated as a problem of clustering color pixels, the finite mixture model with EM algorithm can be used to cluster color space samples. With estimated mixture model parameters, we adopt the BYY model selection criterion to determine how many regions should be segmented on a given color image. In this paper, we experimentally investigate the effect of choosing different color space for determining a reasonable region number based on the BYY criterion.

机译：当图像分割被视为聚类彩色像素的问题时，带有EM算法的有限混合模型可用于聚类彩色空间样本。利用估计的混合模型参数，我们采用BYY模型选择准则来确定应在给定彩色图像上分割多少个区域。在本文中，我们通过实验研究了选择不同颜色空间以基于BYY准则确定合理区域编号的效果。

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来源
《International Conference on Artificial Intelligence IC-AI'2000 Vol.3, Jun 26-29, 2000, Las Vegas, Nevada, USA》|2000年|p.1127-1132|共6页
会议地点 Las Vegas NV(US);Las Vegas NV(US)
作者
Ping Quo; Michael R. Lyu;
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作者单位

Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong;

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会议组织
原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
关键词
image segmentation region number; finite mixture model; BYY model selection criterion; EM algorithm; color space;

机译：图像分割区域号；有限混合模型BYY模型选择标准； EM算法；色彩空间;

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4. A Study on Color Space Selection for Determining Image Segmentation Region Number [C] . Ping Quo, Michael R. Lyu International conference on artificial intelligence . 2000

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A Study on Color Space Selection for Determining Image Segmentation Region Number

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