| 基于小波域局部二值模式和活动轮廓模型的纹理图像分割 |
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| 引用本文： | 付明柏.基于小波域局部二值模式和活动轮廓模型的纹理图像分割[J].云南师范大学学报(自然科学版),2014(2):56-61. |
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| 作者姓名： | 付明柏 |
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| 作者单位： | 昭通学院计算机科学系,云南昭通657000 |
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| 基金项目： | 云南省教育厅科研基金资助项目（2012Y437）. |
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| 摘 要： | 提出一种双树复小波域局部二值模式和活动轮廓模型的纹理图像分割方法.该方法首先使用双树复合小波(DTCWT)分解纹理图像,然后使用局部二值模式(LBP)提取纹理特征.利用最大熵准则对纹理特征图像进行选择.活动轮廓模型(ACM)用于最后得分割.实验结果表明提出的方法对于合成纹理和自然场景数据集达到了较高的分割精度.
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| 关 键 词： | 纹理图像分割 双树复合小波变换 局部二值模式 活动轮廓模型 最大熵准则 |
Texture Segmentation Based on Local Binary Patterns in Wavelet Domain and Active Contour Models |
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| FU Ming-bai.Texture Segmentation Based on Local Binary Patterns in Wavelet Domain and Active Contour Models[J].Journal of Yunnan Normal University (Natural Sciences Edition),2014(2):56-61. |
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| Authors: | FU Ming-bai |
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| Institution: | FU Ming-bai( 1.Department of Computer Science,Zhaotong University,Zhaotong 657000,China;) |
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| Abstract: | A texture segmentation method is proposed based on local binary patterns （LBP） in dual tree complex wavelet transform （DTCWT） domain and active contour models （ACM）.The method first decomposes the texture image with DTCWT.Then the LBP operator is used to extract texture features.The maximum entropy criterion is used for selecting the feature images.Finally the segmentation is obtained by using ACM.Experimental results show that the method can achieve relatively high segmentation accuracy for both synthetic textures and natural scene images. |
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| Keywords: | Texture segmentation Dual tree complex wavelet transforms （DTCWT） Local binary patterns （LBP） Active contour models （ACM） Maximum entropy criterion |
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