资源列表
ImageSegmentation
- 用MFC编写的图像分割处理程序，采用了FCM和最小生成树两种方法来对图像进行分割-MFC prepared with the process of image segmentation using the FCM and the minimum spanning tree in two ways to partition images
EMSeg
- matlab写的图像分割算法，用Em算法实现，很棒！-matlab write image segmentation algorithm, Em Algorithm, great!
dipum_toolbox_1.1.3.p
- 冈萨雷斯数字图像处理MATLAB版工具包函数库，文件格式为.p。-Gonzalez Digital Image Processing MATLAB version of the tool kit function library, the file format. P.
mosaic
- 关于图片标注马赛克的C++程序，希望对研究数字图像处理方向的朋友有所帮助-Marked on the image mosaic of C++ program, hope to study the direction of digital image processing to help a friend
Ncut_9
- ncut图像分割，Timothee Cour写的源代码-ncut image segmentation
fcma
- 模糊聚类算法的实现，用c语言实现，有测试内容，附有测试文件-The realization of fuzzy clustering algorithm, using c language implementation, there are contents of the tests with a test file
vanishing-points
- 灭点标定，利用拍摄图像的两组灭点，求解摄像机标定的焦距、旋转矩阵、平移向量-Vanishing point calibration, using two sets of images taken vanishing point, solving the camera calibration of the focal length, rotation matrix, translation vector
Demo_Program
- 数字图像处理比较完整的程序，包括图像二值化、灰度线性化、阈值变换、边缘检测、轮廓跟踪、图像细化-More complete digital image processing procedures, including image binarization, gray linear, threshold transform, edge detection, contour tracing, image thinning, etc.
kxymc
- 对于存在块效应图像进行质量评价 matlab程序 比较适合初学者-For the existence of blocking matlab image quality evaluation procedures are more suitable for beginners
harris_corners_image_registration
- 应用harris算子进行角点检测，然后利用相关性检测得到匹配焦点，然后进行图像的重采样，适于对于彩色图像的处理，对于灰度图像，只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可-Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitabl
Retinex
- 全局Retinex彩色图像恢复,VC++实现，效果不错，还原真实色彩，与直方图均衡化比较-Global Retinex color image restoration, VC++ to achieve good results, restoring true colors, compared with the histogram equalization
IamSeg
- 基于形态学商图像的光照归一化算法.复杂光照条件下的人脸／P,~J1是一个困难但需迫切解决的问题，为此提出了一种有效的光照归一化算法． 该方法根据面部光照特点，基于数学形态学和商图像技术对各种光照条件下的人脸图像进行归一化处理，并且将它 发展到动态地估计光照强度，进一步增强消除光照和保留特征的效果．与传统的技术相比，该方法无须训练数据集以 及假定光源位置，并且每人只需一幅注册图像，在耶鲁人脸图像库B上的测试表明，该算法以较小的计算代价取得了 优良的识别性能．-Face recogn