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圆形图表的处理，包括大圆套小圆，双指针，针对设计仪表的初学者很有帮助(Treatment of circular charts, including the great circle sets of small round, double pointer, very helpful for beginners instrument design)

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".)

说明：  多边形裁剪是逐次多边裁剪法，它的基本思想是以窗口的四条边界线单一逐次对多边形裁剪(polygon clipping is Successive multilateral cutting, its basic idea is a window four successive boundaries of a single polygon clipping)

基于规格化Hough变换的天波超视距雷达检测前跟踪算法(Hough transform based on the normalized horizon radar detection and tracking algorithms)

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.)

在GDAL库下，采用主成分变换实现多光谱影像与全色高分辨影像的融合。(Under the GDAL library, the principal component transformation is used to fuse multispectral images with panchromatic high resolution images.)

说明：  Jpeg算法源代码，包含jpeg的各种算法实现的vc++的源代码(Jpeg algorithm source code, including the various algorithms jpeg of vc++ source code)

本人开发的火焰识别程序，包括otsu自适应阈值，canny边缘检测，形态学膨胀、腐蚀操作，尖角判别，圆形度计算。在vc下编译通过。(development of the flame identification procedures, including otsu adaptive threshold, canny edge detection, Morphological expansion, corrosion operation, pointed discriminant, circular calculation. Under the vc compile.)

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)

说明：  图像形态学处理，图像腐蚀，图像膨胀，图像细化，边缘检测(Morphological image processing, image corrosion, image expansion, image thinning, edge detection)