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k-均值算法 做的图象分割实例 （将图片像素聚成三类）(k-means algorithm to do the image segmentation example (poly-pixel pictures into three categories))

说明：  基于边缘特征的SAR图像与光学图像匹配，测度为Hausdorff距离(SAR images based on edge features and optical image matching, for the Hausdorff distance measure )

OpenCV_基于混合高斯模型GMM的运动目标检测。内附监测监控视频，方便测试使用。(OpenCV_ GMM Gaussian mixture model based moving target detection. Included monitoring surveillance video, easy testing.)

一种在二维、三维数据中利用Canny算子检测边缘的边缘检测器(A Canny edge detector for two-dimensional image and three-dimensional volume data.)

在本文中，我们提出了一个 所谓自适应模糊-K-均值聚类新方法 （AFKM）聚类的图像分割这可能是 适用于一般的图像和/或特定的图象（即 医疗和显微图像），采用不同的拍摄的 消费类电子产品，即，例如，在 普通数码相机和CCD相机(In this paper, we present a new clustering algorithm called Adaptive Fuzzy-K-means (AFKM) clustering for image segmentation which could be applied on general images and/or specific images (i.e., medical and microscopic images), captured using different consumer electronic products namely, for example, the common digital cameras and CCD cameras)

ebook on Jtag and boundary scan

imnoise的M文件，对数字图像的加噪声非常有用处！(imnoise M-files, plus noise on digital images is very useful!)

color image watermarking with color

harrisconer角点检测，提取焊缝的角点位置信息，进行焊缝的特征识别(harrisconer extractionfeature extraction.The position information of the corner point of the weld is extracted and the characteristics of the weld are identified)

discrete hartley trnasform paper