FCM-C-mean-cluster-segment-[matlab]

MICC-F220.zip matlab ..............

在激光三维测量中，提取每一张图片的激光条纹中心坐标得到激光中心线。(In the laser 3D measurement, the central coordinates of the laser stripe are extracted from each image to obtain the central line of the laser.)

先进行高斯金字塔分层，在拉普拉斯分解，最终将两幅局部有模糊的图像进行融合，最后显示清晰图像。(First Gaussian pyramid stratification, in Laplace decomposition, the final two local fuzzy image fusion, and finally show a clear image.)

自己曾经做的一个项目，基于几何特征的模式识别。可以有效的识别等边三角形，矩形，六角形 和圆形。 基于c++和OpenCV 编写的程序。是学习OpenCV的好代码。 图像处理&模式识别。(Marksdetection for equilateral triangles,rectangle, regular hexagon, special orthogonal polygons and circles Based on C++ and OpenCV good source code for image processing and mark detection)

说明：  使用贝叶斯算法进行图像分割，迭代法寻找最佳阈值(Bayesian algorithm is used for image segmentation, and iterative method is used to find the best threshold)

用MATLAB实现的darkchannel算法，实现图像去雾(Image Haze Removal Using Dark Channel)

fingerprint normalise

说明：  提取图像的hu矩 使用matlab编写 相当稳定 计算速度较快(image hu moment steadily run fast very good worth trying)

PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。(Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired. )

VapourSynth-BM3D-master BM3D算法的原创代码，运行速度超快，参考文献《Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering》(VapourSynth-BM3D-master BM3D original algorithm code, run super-fast, Reference " Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering" )