image_enhangce_value

本程序应用相位一致性进行边缘检测，较以往应用灰度信息进行边缘检测算法，该算法与光照无关，且抗噪声性能强(phase of the application process consistency edge detection, gray than in the past Application information edge detection algorithm, The algorithm has nothing to do with illumination, and strong anti-noise performance)

原创基于c++语言编程实现了MC算法在三维图像处理中的应用，以及有许多二维图像到三维图像表面的重建过程算法。通过VC2008，编译已通过。(I have realized MC algorithm about the application of processing 3-D image based on C++ language also realised the technology on image surface reconstruction from 2-D to 3-D image.They are all compiled successfully using VS2008)

通过稀疏重构一幅自然图像，使得该图像重新生成，同时找出稀疏系数。(One kind of denoising signal sparse representation)

说明：  图像特征提取，不变矩。hu矩。f1~f7.用于物体识别。(hu)

用差分盒维数处理图像，通过对图像分块，然后每一块来计算该区域的分维数，将其作为该区域所有像素上每一像素的分维数。然后，增强分维数分布图效果，然后取阈值，最后，给人造目标加框。(Differential box counting process the image, the image block, and then every one to calculate the fractal dimension of the region, as all the pixels in the region of each pixel on the fractal dimension. Then enhanced fractal dimension distribution effect, and then take the threshold, and finally, to the man-made objects framed.)

能够提取出图像I的HOG特征，返回其幅值，角度和在各个角度上的幅值。 是进行其他针对图像的HOG特征提取的前一步。(I can extract images of HOG features, return to their amplitude, angle and perspective in all of the amplitude. Is the other for image feature extraction HOG step forward.)

DWT域的水印提取，matlab 以及信噪比分析(DWT watermark extraction, and signal-to-noise ratio analysis Matlab)

乳腺X线图像增强质量评价的ＭＡＴＬＡＢ程序，这里使用对比度和ＤＳＭ两种评价方法对乳腺Ｘ线图像增强方法的优劣做一个客观的评价。(Breast X-ray image enhancement the quality assessment of the MATLAB program, where the use of contrast and DSM two evaluation methods to make an objective assessment of the pros and cons of breast X-ray image enhancement method.)

GVF Snake算法的VC源码。GVF是活动轮廓算法Snake的一种改进，能够解决Snake不能够收敛到凹行区域的缺陷(GVF Snake algorithm VC source. GVF active contour algorithm is an improvement Snake, Snake can be resolved can not converge to the concave line defect region)

利用MATLAB处理图形图像，求曲线的曲率(Using MATLAB processing graphics demand curve curvature)