OSGEarth学习资料

说明：  一种彩色图像的边缘检测算法，检测效果非常好，它是对Canny算法的改进，定位好，相应标准高，检测率高，误检率低(a kind of edge detection algorithm.The algoritlun employs amultpassprocessing approach that re}novesnoisefrom theRGB componentswith apre-filter, with the color edge detector then based on an extended gray scale edge gradient tern plate detector.)

EM算法。问题背景是，有N条长为L的DNA序列，每条序列里面有一条长尾K的目标序列，但不知道他的位置，目标序列内的核苷酸服从foreground product multinomial distribution，非目标序列服从background multinomial distribution，改程序意在求解两种分布的参数。(EM algorithm. Background to the issue is that there are N pieces of length L of DNA sequences, each sequence which has a target sequence Nagao K, but do not know his position, the target nucleotide sequence within obedience foreground product multinomial distribution, non-target sequence obey background multinomial distribution, the program is intended to change the parameters in solving the two distributions.)

canny边缘检测源代码，边缘检测对于图像理解、目标检测、跟踪等问题非常重要，该代码实现了canny算子做边缘检测(source code canny edge detection, edge detection for image understanding, target detection, tracking and other issues is very important that the code to do the canny edge detection operator)

说明：  分割区域图像,好滴哦将按计划啊房价跌幅 安防科技来得及(for photo segemetation)

说明：  Matlab实现简单图形处理，包括灰度、亮度、对比度变化等功能(Implement Simple Graphics Processing with matlab. Equipped with the function of gray level,brighteness and contrast ratio transfotmation.)

KL变换的Matlab实现 KL 变换是图像正交变换的一种，在图像压缩领域有着广泛应用。(KL Transform Matlab realize KL transform is a kind of orthogonal transformation image in the field of image compression have broad application.)

腐蚀算法，形态学算法中比较基本的操作-腐蚀，通过MATLAB编程实现，(corrosion algorithm, morphology algorithm relatively basic operation-corrosion, through MATLAB programming,)

关于大视场的视觉标定方法，相对于目前很多近距离的标定，很有借鉴作用(tisi is a paper about fast calibration for binocular vision measuring system,and it s with a large field)

VC操作AVI文件的例子,老是太短，本来就只有这点说明(VC operation example of AVI files, always too short, had only this description)

说明：  tv全变差去噪。自己编写的自适应去噪，传统去噪。保真去噪(TV total variation de-noising. Self-adaptive denoising, traditional denoising. Fidelity de-noising)