图像检索系统 frimcla

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.

按照论文《两种有效的图像增强算法及其应用》实现局部边界检测增强算法和自适应增强算法，效果很好。-In accordance with the thesis

图形学多边形裁剪算法vc实现-graphics polygon clipping algorithm to achieve vc

基于kmeans的图像分割算法，首先得到图像，再确定分类，并计算各分类的均值，从而得到各个像素的分类。-Kmeans-based image segmentation algorithm, first of all get the image, and then determine the classification, and calculate the various categories mean, and thus obtain the classification of each pixel.

openyuv.m将yuv视频文件打开，保存为png文件。writeyuv.m将yuv视频中的第一镇上/下/左/右位移后写入另一yuv文件。-openyuv.m will yuv video file open, save as a png file. yuv video writeyuv.m will be the first town/down/left/right shift after another yuv file write.

基于块分类的自适应图象水印算法-Adaptive block-based classification of Image Watermarking Algorithm

给定输入信号以及信噪比，计算出对应的噪声-For a given input signal and the signal to noise ratio to calculate the corresponding noise

旋转的3维通道- Revolves 3 Uygur channel

图像处理与机器视觉相关的论文 有关均值聚类-Image processing and machine vision-related papers on the means clustering