kfcm

采用了小波去噪的思想，已经调试成功.内含m文件，可直接运行，用于建立主成分分析模型。( Using wavelet denoising thought, Has been successful debugging. M contains files can be directly run, Principal component analysis model for establishing.)

批量化处理图像格式转换，即从img、dat、jpeg等格式转换为tiff格式，在ENVI/IDL环境下直接运行即可。(transform the style of the remote sensing miagery data imgdatjpeg to the tiff style by batch. )

在ycbcr颜色空间分割火焰，并找到火焰质心(Split the flame in the YCbCr color space and find the center of mass of the flame.)

C# 动态绘制曲线

本代码是基于MATLAB环境下的一种基于DWT的数字水印的嵌入与提取，本算法对各种噪声具有一定的抗鲁棒性。(The code is based on the MATLAB environment based DWT digital watermark embedding and extraction, the algorithm has certain anti robustness of various noise.)

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。目前最有效的算法是ALM（Augmented Lagrange Multiplier）。ALM分为Exact ALM和Inexact ALM。 该代码是Inexact ALM，收敛速度比Exact ALM快！(RPCA (Robust Principal Component Analysis) is used for matrix filling, image denoising. It is currently the most effective optimization method. Currently the most effective method is ALM (Augmented Lagrange Multiplier). There re 2 kinds of ALM: Exact ALM and Inexact ALM. The code is Inexact ALM, faster convergence speed than the Exact ALM!)

说明：  特征选择算法，防止分类结果出现过拟合，提前对多维的特征向量进行选择筛选(A feature selection algorithm)

索书号文字图像分割，粘连字符切分，彩色车牌分割 ，文字识别的结构特征提取子函数(Call text image segmentation, character segmentation, color plate segmentation, text recognition feature extraction Functions)

OCR的概念是在1929年由德国科学家Tausheck最先提出来的，后来美国科学家Handel也提出了利用技术对文字进行识别的想法。而最早对印刷体汉字识别进行研究的是IBM公司的Casey和Nagy，1966年他们发表了第一篇关于汉字识别的文章，采用了模板匹配法识别了1000个印刷体汉字。(The concept of OCR in 1929 by the German scientist Tausheck Handel first put forward later, scientists in the United States also put forward ideas of text recognition using technology. In 1966, they published their first article on Chinese character recognition, using template matching method to recognize 1000 printed Chinese characters.)

这是一个基于vc++语言下读取像素点灰度值(write highhui of a photo!)