| 基于玻耳兹曼熵分析的图像分割方法研究* |
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| 引用本文： | 曹建农. 基于玻耳兹曼熵分析的图像分割方法研究*[J]. 计算机应用研究, 2011, 28(10): 3920-3924. DOI: 10.3969/j.issn.1001-3695.2011.10.088 |
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| 作者姓名： | 曹建农 |
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| 作者单位： | 长安大学资源学院,西安,710054 |
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| 基金项目： | 国家自然科学基金资助项目（40971217）；地理空间信息工程国家测绘局重点实验室开发基金资助项目（200915） |
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| 摘 要： | 根据热力学玻耳兹曼熵关系式，定义基于图像灰度谱的玻耳兹曼熵谱，将图像空间局部结构隐含于灰度谱的客观事实与玻耳兹曼熵谱联系在一起。最后在像素近邻空间进行统计计算，通过识别玻耳兹曼熵谱特征，实现图像分割。实验与比较分析表明，该方法具有显著优势。
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| 关 键 词： | 图像分析；图像分割；波耳兹曼熵；局部结构 |
Image segmentation based on Boltzmann entropy |
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| CAO Jian-nong. Image segmentation based on Boltzmann entropy[J]. Application Research of Computers, 2011, 28(10): 3920-3924. DOI: 10.3969/j.issn.1001-3695.2011.10.088 |
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| Authors: | CAO Jian-nong |
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| Affiliation: | CAO Jian-nong(College of Earth Science & Resources,Chang'an University,Xi'an 710054,China) |
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| Abstract: | This paper presented a new definition of image Boltzmann entropy mainly based on the image gray-level according to thermodynamics Boltzmann relational expression, which revealed the facts that the image local fabrics were embedded in their gray-level sequence by image Boltzmann entropy.Then image segmentation was come true by statistically computing in local neighbor pixels to identify characteristics of image Boltzmann entropy. The experiments and comparing analysis indicate that this method is remarkable superiority. |
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| Keywords: | image analysis image segmentation Boltzmann entropy local fabrics |
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