利用数学形态学进行图像处理中的腐蚀和膨胀的源码

本程序是对图象进行均衡化处理源程序主要用来参考学习-this program is to facilitate a balanced image processing for the main reference source study

这个是彩色图像分割方法。与RegionExtract采用的方法不同。 首先rgb转换成hsv，对h分量进行直方图分割，得到直方图的峰值和峰谷。利用得到的峰值和峰谷进行区域分割，这样会得到很多的小区域，对这些小区域进行区域合并，区域合并的终止条件是：区域一致性距离在某个固定的阀值之间，比如20或者在某个自适应阀值（该阀值自动计算）。注意：区域合并在luv空间进行。-This is a method for color image segmentation. With the different methods used RegionExtract. First rgb convert hsv, components of the h histogram segmentation, the histogram peak and peak and valley. Utilization of the peak and peak-valley regional partition, it would receive many of the small area of these small regional regional merger, regional merger termination conditions are: the regional consistency of the distance between a fixed threshold, such as 20 or in a self-adaptive threshold (the threshold automatically calculated). Note: regional merger in luv space.

本程序利用SIFT算法进行指纹识别 用SIFT检测出指纹中特征点 提取特征向量 将特征向量与指纹库中的向量进行匹配 从而识别出指纹-This procedure using SIFT fingerprint recognition algorithm using SIFT to detect the fingerprint feature points in the feature vector will be extracted eigenvectors and fingerprint library vector matching in order to identify fingerprints

这个也是图形学的一个作业，不过功能比较全面和强大，可以完成基本几何体的造型、多边形化，可以设置场景光源并进行光线跟踪渲染等。启动类为final_3d.Final_3D-this is a graphics operation, but function more comprehensive and powerful, can be completed basic geometric shapes, polygons, and can be installed Scene light source and Ray Tracing rendering, etc.. Start category final_3d.Final_3D

kalman滤波的程序，使用OpenCV进行开发，简单实用，效果很好-Kalman filtering, the use of OpenCV developed a simple, practical, and the results very good

此程序代码是用于人脸识别的MATLAB代码，-facecong

在活动轮廓模型的c++程序中，详细介绍了蛇轮廓模型的内外能量函数打击等。

基于ISE的DPRAM进行并行和串行的数据格式转换。-use for the ISE DPRAM IP to do with form parallel data format to serial fromat process.

SIFT特征点检测算法是一种有效的图像特征检测法，对旋转、尺度，光照变化都具有一定的鲁棒性。-SIFT feature detection algorithm is an effective method of image features, rotate, scale, the light changes robustness。

源码实现了快速傅利叶变换，希望对朋友们有一点帮助。-source achieved Fast Fourier Transform, and I hope to have some friends to help.