Desktop2

非常适合计算机视觉方面的研究使用,包括四元数的各种计算,算法优化非常好，几乎没有循环。( Very suitable for the study using computer vision, Including quaternion various calculations, Algorithm optimization is very good, almost no circulation.)

使用傅立叶变换对图像的条纹噪声进行滤除，分别使用了理想低通滤波、巴特沃兹低通滤波和高斯低通滤波进行处理(The use of Fourier transform on the image to filter out the noise of the stripes, respectively, using an ideal low-pass filtering,巴特沃兹Gaussian low-pass filtering and low pass filter to deal with)

matlab语言，基于K-mean，也即是取K值法提取方法的关键帧抽取方法(matlab language, based on the K-mean, that is to take the value of K extraction method keyframe extraction method)

一.主站说明 本站主站为HTM格式，主要用背景图片添加内容.使用简单方便，只要会PHOTO　SHOP　的朋友均应会自已添加站内的内容.在此就不多说了.(A main station that the main station for the HTM format, the main use of the background picture to add content.Easy to use, as long as PHOTO SHOP friends should be added to the content of their own station.)

说明：  可以将txt文件中的某一列数据进行提取出来，然后进行图像制图(You can extract a column of data from the txt file and then do image mapping)

可对lytro相机所得到的光场图像进行各种处理(The light field image obtained by lytro camera can be processed in various ways.)

说明：  直方图均衡，图像去雾处理，是把原始图像的灰度直方图从比较集中的某个灰度区间变成在全部灰度范围内的均匀分布。直方图均衡化就是对图像进行非线性拉伸，重新分配图像像素值，使一定灰度范围内的像素数量大致相同。(Histogram equalization, image processing to the fog, is the original image histogram to a gray scale from the more concentrated into the full range of uniform distribution within the gray area. Histogram equalization is that the image is non-linear stretch, re-distribution of the image pixel values, so that a certain number of pixels within the gray area roughly the same.)

在目标图像中找出已经给出的训练图像。通过训练训练图像得到参数，来找出目标图像中的训练图像(Has been given in the target image to identify the training image. TRAINING image parameters to identify the training images of the target image)

差影法去背景---部分测试，感觉还行，与大家分享，呵呵差影法去背景(Poor background--- Shadow law to some of the test, I feel also visit to share with you, huh, huh difference method to the background shadow)

二维的OMP算法，封装完成的函数，可独立调用(Two dimensional OMP algorithm, wrapped function can be called independently.)