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This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stations. The proposed system uses motion to compute regions of interest and
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表面缺损检测对保证产品的使用性能、完整性和安全性具有重要意义 本文将表面
缺损类型总结为结构缺损、几何缺损、颜色缺损和纹理缺损等几类，并进行特征分析。在此基础上，从基于灰度特征、形态特征、色度特征和纹理特征等几方面对表面缺损的图像检测方法进行综-Surface defect detection products to ensure the use of performance, integrity and security will be of great significance to t
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ADA and NN based Mammogram Mass Classification using various geometric shape features
Surendiran.B, A.Vadivel
National Conference on Advanced Pattern Mining and Multimedia Computing, APMMC10, Department of Computer Applications, National Insti
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CBIR is retrieval of images based on some query or example images. It is also called Query based image retrieval. Firstly, this report outlines a descr iption of the primitive features of an image color and shape. These features are extracted and use
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基于 AAM 的人脸特征定位方法在建立人脸模型过程中，不但考虑
局部特征信息，而且综合考虑到全局形状和纹理信息，通过对人脸形状特征和纹
理特征进行统计分析，建立人脸混合模型，即为最终对应的 AAM 模型。-AAM facial features localization method based on face model in establishing the process, not only consider local feature information, and consi
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Query by content, or content-based retri has recently been proposed as
an alternative to text-based retri for media such as images, video and audio.
Text-based retri is no longer appropriate for indexing such media, for several
reasons. Firstly
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本论文在对各种算法深入分析的基础上，尤其在对基于密度的聚类算法、基于层次的聚类算法和基于划分的聚类算法的深入研究的基础上，提出了一种新的基于密度和层次的快速聚类算法。该算法保持了基于密度聚类算法发现任意形状簇的优点，而且具有近似线性的时间复杂性，因此该算法适合对大规模数据的挖掘。理论分析和实验结果也证明了基于密度和层次的聚类算法具有处理任意形状簇的聚类、对噪音数据不敏感的特点，并且其执行效率明显高于传统的DBSCAN算法。-Based on the analysis on clustering
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In this paper, a multiscale convolutional network
(MSCN) and graph-partitioning-based method is proposed for accurate
segmentation of cervical cytoplasm and nuclei. Specifically,
deep learning via the MSCN is explored to extract scale invariant
f
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