| 基于熵结合的活动轮廓分割模型 |
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| 引用本文： | 刘乐,徐玉蕊,王刚刚,侯阿临.基于熵结合的活动轮廓分割模型[J].吉林大学学报(信息科学版),2016,34(2):278-282. |
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| 作者姓名： | 刘乐 徐玉蕊 王刚刚 侯阿临 |
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| 作者单位： | 长春工业大学 计算机科学与工程学院,长春,130012;长春工业大学 计算机科学与工程学院,长春,130012;长春工业大学 计算机科学与工程学院,长春,130012;长春工业大学 计算机科学与工程学院,长春,130012 |
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| 基金项目： | 国家留学基金资助项目(201308220163)；国家自然科学基金资助项目(61303132)；教育部国际合作科研基金资助项目(Z2011138) |
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| 摘 要： | 针对传统活动轮廓对图像分割鲁棒性较差的问题, 将基于区域的轮廓模型和基于梯度的轮廓模型通过图像熵与图像梯度和进行结合。通过图像熵与图像梯度和建立基于梯度与基于区域结合的活动轮廓模型。将水平集函数嵌入到模型中, 对模型结果进行连续分割, 并进行拓扑变化。采用窄带方法进行快速演化。实验证明, 该方法有较好的鲁棒性和较快的分割速度, 对图像分割理论的发展提供了新的研究途径。
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| 关 键 词： | 图像分割 熵 水平集 活动轮廓 |
| 收稿时间： | 2014-12-01 |
Active Contour Model Based on Entropy Fitting for Image Segmentation |
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| LIU Le,XU Yurui,WANG Ganggang,HOU Alin.Active Contour Model Based on Entropy Fitting for Image Segmentation[J].Journal of Jilin University:Information Sci Ed,2016,34(2):278-282. |
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| Authors: | LIU Le XU Yurui WANG Ganggang HOU Alin |
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| Institution: | College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China |
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| Abstract: | To solve the problem of weak robustness in image segmentation of general active contour,an active contour model combined region-based model with gradient-based model is proposed using the entropy energy and gradient sum. Firstly,active contour model is constructed via fitting the gradient information and region information by use of entropy energy and gradient of image. Secondly,the level set is embed in the mentioned model to follow the curve change of topological structure. Finally,the narrow band method is used to increase the speed of evolution. The experiment results show that the proposed model has a better robustness with faster evolution speed. The study of the model is able to provide a new research way to develop the theory of image segmentation. |
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| Keywords: | image segmentation entropy energy level set active contour model |
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