文件名称:DetectionofTonguesCrackBasedonAdaptiveThreshold.ra
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- 图形图像处理(光照,映射..)
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- [PDF]
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- 2012-11-26
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- 590kb
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- chri*****
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摘 要:舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不
适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并,
对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的
舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。-Tongue’ s crack is a very important part of herbalist doctor diagnosis. For the different screen conditions , there are many differ2
ences on the tongue’ s quality. It is not effective to use the t raditional threshold ext raction algorithm. In order to solve this problem , pro2
pose a new adaptive threshold algorithm. Present the segmentation of the image of tongue by using the feature on tongue in the L 3 a 3
b color space and the split- combining algorithm. Then use the threshold , which is the color value ext racted automatically in the middle
of the tongue , to detect the crack of the whole tongue. The experiments show that this approach is able to distill the crack effectively to
different tongue images , and achieve the objectivity of the diagnosis based on the tongue’ s crack.
适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并,
对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的
舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。-Tongue’ s crack is a very important part of herbalist doctor diagnosis. For the different screen conditions , there are many differ2
ences on the tongue’ s quality. It is not effective to use the t raditional threshold ext raction algorithm. In order to solve this problem , pro2
pose a new adaptive threshold algorithm. Present the segmentation of the image of tongue by using the feature on tongue in the L 3 a 3
b color space and the split- combining algorithm. Then use the threshold , which is the color value ext racted automatically in the middle
of the tongue , to detect the crack of the whole tongue. The experiments show that this approach is able to distill the crack effectively to
different tongue images , and achieve the objectivity of the diagnosis based on the tongue’ s crack.
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DetectionofTonguesCrackBasedonAdaptiveThreshold.pdf