SIFTVC6

sift匹配算法 尺度不变变换 特征描述子 特征点匹配 (sift match)

利用回转窑生产氧化铝的工艺中，提出了一种新的基于SVR（支持向量回归）的烧成带温度软测量方法。即首先对从回转窑采集到的烧结图像进行预处理，消除噪声的干扰；然后利用大津方法分割出物料区和火焰区，并提取这些区域的图像特征；其次利用基于SVR方法建立的烧成带温度模型计算温度值；参数计算.(The use of alumina rotary kiln production process, a new-based SVR (support vector regression) of the burning zone temperature soft measurement method. That is first collected from the rotary kiln sintering image pre-processing to eliminate noise interference Otsu method and then use the materials division of the district and flame zones, and extraction of image features in these regions SVR-based method followed by the establishment of the burning zone temperature model temperature parameters.)

运用在fluent中的udf，解决边界正弦运动的情况，非常珍贵(Border harmonic vibration UDF, use them in fluent, very precious resource)

二维码PDF417编码和解码的源代码,可将它们修改后做成匹配的编码和解码对。(The source code of two-dimensional barcode PDF417 encoding and decoding, they can be modified to become a matched encoding and decoding. )

计算机图形学图像处理学习内容，附带PPT教程里面的代码。(the ppt for Digital Image)

对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果(Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descriptor, then according to the results, the coarse matching results, using RANSAC method to calculate the fundamental matrix, and eliminate the error matching, gain a more accurate matching results)

windows下c++鱼眼校正，debug内exe可直接运行看结果。内附参考文献，更详细文献可见论文《超大广角畸变图像的校正和展开》。(C++ fisheye correction under windows, debug within exe can run directly to see the results. With reference to the literature, more detailed literature can be seen in the paper "super wide-angle distortion image correction and expansion".)

球面坐标定位法校正鱼眼图像畸变，使用visual studio 2008 编写，需要OpenCV的支持(Spherical coordinates locating fish eye image distortion correction, prepared using visual studio 2008, requires the support of OpenCV)

基于otsu的自适应阀值canny边缘检测(adaptive canny edge detection based on otsu)

说明：  IFC文件格式读取和写出源码，目前该源码是1.0版本(IFC file format reads and writes the source code, which is currently version 1.0)