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	Staging of cervical cancer based on tumor heterogeneity characterized by texture features on F-18-FDG PET images 期刊论文 OAI收割 PHYSICS IN MEDICINE AND BIOLOGY, 2015, 卷号: 60, 期号: 13, 页码: 5123-5139 作者: Mu, Wei; Chen, Zhe; Liang, Ying; Shen, Wei; Yang, Feng 收藏 \| 浏览/下载：44/0 \| 提交时间：2015/09/17 cervical cancer PET/CT images tumor segmentation texture analysis cancer staging
	MCA aided geodesic active contours for image segmentation with textures 期刊论文 OAI收割 PATTERN RECOGNITION LETTERS, 2014, 卷号: 45, 页码: 235-243 作者: Shan, Hao; He, Changtao; Wang, Na 收藏 \| 浏览/下载：45/0 \| 提交时间：2015/06/09 Morphological component analysis\diversity Image segmentation Sparse representation Curvelets Geodesic active contours Texture separation
	TextureGrow: Object recognition and segmentation with limit prior knowledge (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China Yao Z.; Han Q. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 In this paper we present a new method for automatically visual recognition and semantic segmentation of photographs. Our automatically and rapidly approach based on Cellular Automation. Most of the analysis and description of recognition and segmentation are based on statistical or structural properties of this attribute most of them need plenty of samples and prior Knowledge. In this paper within a few evident samples (not too many) we can first get the texture feature of each component and the structures then select the approximately location randomly of the objects or patches of them then we use the Cellular Automata algorithm to "grow" based on texture of different objects. The grow progress will stop When texture grow to the boundary. By this steps a new method is found which allow us use very few samples and low lever experience and get a rapidly and accuracy way to recognize and segment objects. We found that this new propose gives competitive results with limited experience and samples. 2011 IEEE.
	Quaternion-domain EMD-based unsupervised texture segmentation 期刊论文 OAI收割 Computer Engineering, 2006, 卷号: 32(4), 期号: 2006年04期, 页码: pp 42-45 (EI) 作者: Cui, Feng; Shen, Bin; Peng, Silong, \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2017/01/13 Texture Segmentation / Quaternion / Empirical Mode Decomposition(Emd / Gabor Filter / Time-frequency Analysis
	纹理分析与模式分类学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2004 张凯收藏 \| 浏览/下载：47/0 \| 提交时间：2015/09/02 图象分割纹理分析 Gobor滤波器聚类算法均值移动非参数估计联合域分析 Texture Analysis/Segmentation Gabor Filter Clustering Non-parametric Density Estimation Image Segentation Mean Shift Joint Domai
	医学影像处理与分析中分割方法的研究及应用学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2002 作者: 林瑶收藏 \| 浏览/下载：144/0 \| 提交时间：2015/09/02 医学图像处理与分析图像分割模糊连接度纹理特征活动轮廓模型形变模型 Live wire算法 Watershed ACID Medical Image Process and Analysis Image Segmentation Fuzzy Connectedness Texture Feature Active Contour Model Deformable Model