impletation Of a very simple alu not very good, just for refference

SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。 2 SIFT 主要思想 SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。 -a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scale and rotation, and are shown to provide robust matching across a a substantial range of affine distortion, change in 3D viewpoint, addition of noise, and change in illumination. The features are highly distinctive, in the sense that a single feature can be correctly matched with high probability against a large database of features from many images.

matlab 的图像处理高级命令一览表，里面详细讲解了各种命令的使用方法-matlab image processing high-level command list, which explained in detail the various commands to use

A Basic Introduction to OpenCV for Image Processing

Harris-Laplace combined corner and edge detector 完成对图像的角点和边缘的同时检测-Harris-Laplace combined corner and edge detector angle to complete the image at the same time point and the edge detection

第二届全国高校 BBS 程序开发大赛四大独立奖项最佳编程风格奖A9010@10.20-Second National College BBS Development Competition four awards the best independent programming style A9010 @ Award 10.20

采用国际标准测试图cameraman进行测试。分别采用均匀性度量法、类间最大距离法、最大熵方法三种方法进行图像分割。并附有注释、程序清晰、易于阅读。相信图像初学者阅读后应该有很大的收益。-junyunxingduliangfa, leijianzuidajulifa, zuidashangfangfa,

含有pca和kpca算法，具有很好的在图像处理方面的应用-contain pca and kpca algorithm, is very good in image processing the application

在数字图像处理中，会应用kmeans算法，该算法的实现源码呈现如下！-In digital image processing will be applied kmeans algorithm, which follows the realization of a source!

MULTIGEN公司VEGA PRIME中对于物体碰撞检测的算法源码，对于碰撞检测的必看程序。-MultiGen Inc. VEGA PRIME for objects in the collision detection algorithm source code for the collision detection procedure of the must-see.

应用vc++语言提取图像的不变矩输出结果。这是提取经典的七个不变矩的值，速度很快-Application vc++ Language extracted image moment invariants output. This is the extraction of the classic seven moment invariants of the value of fast