GM-PHD-filter

实现边缘连接和线段拟合源码，希望能与大家共享 (Realize the edge connectivity and line segment fitting source, hoping to share with everyone)

Image Edge Enhancing Coherence Filter Toolbox，各向异性非线性扩散滤波器(This toolbox will perform Anisotropic Non-Linear Diffusion filtering on a 2D gray/color or 3D image. This filtering will reduce the image noise while preserving the region edges, and also enhancing the edges by smoothing along them. This is one of the more advanced image enhancement methods available, and also contains HDCS from october 2009. The result looks like an artist painted the image, with clear brush strokes along the image edges and ridges, see screen-shot. )

改进经典的otsu算法，使其适应目标所占图像比例较小的情况，使图像分割方法更具有自适应性 (Improve classic otsu algorithm to achieve image segmentation)

根据图像的颜色对图像进行分割，里面有多个方法，一种是RGB色彩分割，一种是K均值聚类，还有对视频处理分割，有多个测试图(According to the color image on the image segmentation, there are multiple ways, one is RGB color segmentation, one is the K-means clustering, and video processing division, a plurality of test pattern)

实现一个高精度指针仪表读数自动识别系统．用数码摄像头采集仪表的图像，然后利用数字图像处理技术识别刻度和指针，根据指针和刻度的相对位置计算指针读数值．使用条件霍夫变换（Constrained HOUGH Transfer）和中心投影分析法实现刻度的全自动识别，采用快速中心投影法进行指针检测与识别，识别速度达到68ms．实验结果表明该方法比传统方法速度快、精度高，系统读数平均误差仅为0．016％(To achieve a high precision automatic identification system pointer meter reading. Instrument with a digital camera capture images, then using digital image processing technology to identify scale and pointer, pointer and scale according to the relative position of the pointer readings calculated. Use Hough transform (Constrained HOUGH Transfer) and center projection analysis method to achieve scale automatic identification method using fast center projection target detection and recognition, recognition speed of 68ms. Experimental results show that faster than traditional methods, high accuracy, the system average error of only 0.016 of reading)

利用gabor滤波器方法提取视网膜血管，在提取之前进行预处理。gabor滤波器参数选择的是3个角度，12个方向(Gabor filter method is utilized to extract the retinal blood vessels, preprocessing before extraction. Gabor filter parameter selection are three angles, 12 direction )

一种利用中心和结构聚类的稀疏表示图像去噪方法，有不错的效果(a image denoising method with structral clustering and sparse representation, has good effect .)

说明：  利用c++实现的PCA算法，直接对数据进行处理，适合初步学习(C++ implementation using PCA algorithm to process the data directly)

说明：  用于图像边缘检测，使用matlab检测图像边缘特征(For image edge detection, use matlab to detect image edge features)

VC++图像平滑处理+程序源码，实现图象的平滑（去噪声），锐化功能，测试时请在C盘下放一个测试用的Bmp图片，路径：C: est.bmp，没有的话没法测试。如上图所示是水平平滑处理，可以对比下，不过感觉颜色失真了，有兴趣的看一下。命令行编译过程如下： 　　vcvars32 　　rc bmp.rc 　　cl smooth.c bmp.res user32.lib gdi32.lib(VC++ image smoothing+ program source code, to achieve a smooth image (to noise), sharpening function in the C drive when testing a test of decentralization Bmp picture, path: C: test.bmp, no words can not test . Is shown above the level of smoothing, you can compare the next, but the feeling of color distortion, interested look. Command-line compiler as follows: vcvars32 rc bmp.rc cl smooth.c bmp.res user32.lib gdi32.lib)