read_radiance

不规则窗体

生物学中检测基因对颜色的影响，所以需要计算某种颜色占整体的比例(calculate color ratio)

Diff-rankboost算法,代码功能是产生图片美学质量之间相互的排名差距，便于进一步的进行训练和测试(Diff-rankboost algorithm, code function is to produce the ranking of mutual aesthetic gap between picture quality, ease of further training and testing)

计算机图形学中实现多边形平移，旋转，缩放变换。(Polygons in computer graphics to achieve translation, rotation, scaling transformation.)

本程序能够去除一幅照片中由于光线发散而产生的红眼效应，即去除红眼(the function is to remove red part of eyes in a picture or photo)

奇异值分解降噪程序，压缩包里有程序的详细说明，内附有word文档的说明(SVD noise reduction program, compression bag has a detailed description of the program, enclosing a word document description)

sift算法在cv领域的重要性不言而喻，该作者的文章引用率在cv界是number1.本篇博客只是本人把sift算法知识点整理了下，以免忘记。本文比较早的一篇博文opencv源码解析之(3)：特征点检查前言1 中有使用opencv自带的sift做了个简单的实验，而这次主要是利用Rob Hess的sift源码来做实验，其实现在的opencv版本中带的sift算法也是Rob Hess的，只是稍微包装了下。 下面来做下试验,试验sift代码采用Rob Hess的代码，opencv目前版本中的sift源码也是采用Rob Hess的。代码可以在他的主页上下载：http://blogs.oregonstate.edu/hess/code/sift/ 这里我下载的是windows版本的，并采用Qt做了个简单的界面。(sift algorithm is self-evident the importance of the cv field, the author of the article referenced in the cv sector is number1 this blog I just sift algorithm knowledge compiled under, so as not to forget. This article compares the earlier blog post opencv source code analysis (3): check the preface of the feature points 1 the opencv bring their own sift to do a simple experiment, but this time Rob Hess' s sift source to experiment. In fact, with the opencv version sift algorithm is Rob Hess, only slightly packing the next. Below to do the next test, test sift code using the code of Rob Hess, sift source opencv version of Rob Hess. The code can be downloaded on his home page: http://blogs.oregonstate.edu/hess/code/sift/ here I downloaded the windows version, and using Qt to do a simple interface.)

梯度算子检测边缘,LOG算子检测边缘,Canny算子检测边缘.(Gradient edge detection operator, LOG operator edge detection, Canny edge detection operator.)

Harris角点检测，关于角点的应用在图像处理上比较广泛，如图像匹配(FPM特征点匹配)、相机标定等。网上也有很多博客对Harris角点检测原理进行描述，但基本上只是描述了算法流程，而其中相关细节并未作出解释，这里我想对有些地方做出补充说明，正所谓知其然知其所以然，如有不对，还望指正。(Harris corner detection)

简化数据模型、减少数据处理时间、提高成型效率。算法无需建立三角面片之间的拓扑关系，可直接进行切片分层，切平面与网格面片所得的交线段也无需排序，节省了生成轮廓线时对交线段重新排序所需的时间，提高了分层处理的效率。(Simplify the data model, and to reduce the data processing time and improve the molding efficiency. Algorithm without establishing the topological relationships between the triangular dough piece, can be directly slice layered tangential plane with the grid cross-segment of the dough piece obtained without sorting, save when the contour line is generated on the cross segment reordering the time required, improve the efficiency of the hierarchical processing.)