cfar_sarX_1

cvpr2012_oral On Multiple Foreground Cosegmentation(In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo sets where a finite number of K foregrounds of interest repeatedly occur over the entire photo set, but only an unknown subset of them is presented in each image. This contrasts the classical cosegmentation problem dealt with by most existing algorithms, which assume a much simpler but less realistic setting where the same set of foregrounds recurs in every image. We propose a novel optimization method for MFC, which makes no assumption on foreground configurations and does not suffer from the aforementioned limitation, while still leverages all the benefits of having co-occurring or (partially) recurring contents across images. Our method builds on an iterative scheme that alternates between a foreground modeling module and a region assignment module, both highly efficient and scalable. In part)

包括一片英文文献及其所对应的代码实现，主要功能是实现对运动模糊图像的复原。(Including an English literature and its corresponding code, the main function is to achieve restoration of motion blurred images.)

对指纹进行识别，通过gabor进行指纹增强，然后细化得到结果(Fingerprints were identified and enhanced with gabor, and the results were refined)

shi-tomasi方法角点提取方法。该方法测量结构张量的最小特征值。这代表了Harris和诺贝尔探测器试图近似的理想。哈里斯希望在计算特征时避免计算平方根的计算成本。(Shi-Tomasi corner detector method.The method measure returns the minimum eigenvalue of the structure tensor. This represents the ideal that the Harris and Noble detectors attempt to approximate. Back in 1988 Harris wanted to avoid the computational cost of taking a square root when computing features. This is no longer relevant today!)

用YCbCr看histogram 並將 圖片除存(Use YCbCR to look histogram)

本代码实现了基于肤色的人脸分割程序，代码采用Matlab编写，包含了四个测试样例和结果分析。(This is matlab code about face detection based on face color.)

说明：  利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文。(Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.)

超分辨率图像处理方面的论文，很不错，可以看看(Super-resolution image processing papers, very good, you can take a look at)

Segmentation of MRI using fuzzy connectedness

1、可制作圆形、椭圆形、菱形、方形、三角形印章。 2、支持多种特效：翻转图形、透明处理、高斯模糊、亮度/对比度/饱和度/锐化/反相/海绵/陨化(磨砂)/浮雕等等。 3、可将制作好的印章保存至印章库。 4、支持1％－1000％比例缩放。 5、支持导出印章图片(透明图章使用GIF格式)。 6、支持预览/打印。(1, can be made round, oval, diamond, square, triangular seal. 2, supports a wide range of effects: flip graphics, transparent deal, Gaussian blur, brightness/contrast/Saturation/Sharpness/RP/sponge/meteorite of (Matte)/relief and so on. 3, can be saved to create a good seal of the Treasury seal. 4, in support of 1-1000 scaling. 5, support for export seal picture (stamp the use of transparent GIF format). 6, support for preview/print.)