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texture based image analysis
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Abstract—Noninvasive ultrasound imaging of carotid plaques
allows for the development of plaque-image analysis methods associated
with the risk of stroke. This paper presents several plaqueimage
analysis methods that have been developed over th
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基于彩色局部二值模式的纹理分类研究，采用LCVBP原理，创新实用-Color texture classification based on local binary pattern studies, using LCVBP prinicple, innovation and practical
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Classification of protein crystal images using svm wavelets and BloBWorld Texture features.
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核稀疏用于字典学习和稀疏表示，可用于纹理分类等模式识别问题。-Nuclear sparse dictionary for learning and sparse representation can be used for texture classification pattern recognition problem.
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