资源列表
mohuFCM
- 基于matlab的模糊均值C的聚类程序，可以实现彩色图像的聚类，能实现程序时间统计-Matlab-based fuzzy mean C clustering procedures, can achieve color image clustering, to achieve the program time statistics
OfflineTest
- 基于C# + Visionpro 结合的图像处理程序简单示例程序， 调用图像处理库来实现功能 包含工程文件的编辑，调用，修改，保存等，具有参考性(A simple example program of image processing program based on the combination of C# + visionpro, Call the image processing library to realize the function It contains the editin
openmap-4.6.2
- 一个很棒的基于java的开源GIS系统OpenMap(TM)。-OpenMap is a Java Beans based toolkit for building applications and applets needing geographic information. Using OpenMap components, youcan access data from legacy applications, in-place, in a distributed setting.
Krawtchouk_Moments
- 包含Krawtchouk_Moments的文章以及计算的matlab程序，输入参数可直接运行-Article and matlab calculation procedures, the input parameter contains Krawtchouk_Moments can be directly run
PCA-code
- 基于主成分分析方法的人脸重构，使用ORL人脸数据库-the face reconstruction based on PCA method
PyramidBlending
- 使用高斯金字塔对两幅图像进行无缝融合，拼接，因为在金字塔下拼合的非常平滑，可运行，高质量-Gaussian pyramid seamless fusion of the two images, stitching, flattened pyramid is very smooth running, high-quality,
Chinese_cities
- 中国地级市矢量图（点文件、面文件）shp-point，polygon，shapefile of Chinese cities
ml-handwritten-digit-recognition-master
- 手写体数字（0-9）使用MATLAB图像识别的机器学习(Handwritten digit (0-9) recognition from images using machine learning in matlab)
segment
- 基于VS2010的图像分割源码，包含一些常用的图像分割算法，如边缘检测、区域生长、阈值分割等，需添加灰度图调试-Based on the the VS2010 image segmentation source, contains some of the commonly used image segmentation algorithm, such as edge detection, region growing, thresholding, need to add the gray lev
animal_identification
- opencv/SVM算法/简单的动物识别（猫/鸟/鱼。。。）-opencv /SVM algorithm/ simple animal identification (cats/birds/fish ...)
caijian_program
- 将图片裁剪想要大小的图像块。可以继续拓展为自动裁剪多张，压缩包内有说明，可以继续添加功能。(Cut the image to the size of the image block.)
0085-JumpSuperStars(J)
- 这是我和朋友们精心开发的一款java，是很值得玩家们尝试的，我不骗你们的．-This is my friends and well-developed one java, it is worthwhile to try the players, I do not deceive you.