winamp的插件G

java的图像处理程序,很简单的,很实用-java image processing is very simple and very practical

结合PCA+LDA的图像识别算法VC封装类,PCA（主元素分析，光照敏感）,可用于人脸识别的初级算法-combination of image recognition algorithm VC Packaging category, PCA (principal component analysis, Light-sensitive), can be used for the initial face recognition algorithm

用VB写的从 DLL、EXE 或资源文件中解开 ICON(3KB),值得一看.-VB write from the DLL, EXE or resource documents untied ICON (3KB) overseas.

图形学Zbuffer算法vc实现-graphics algorithm vc achieve Zbuffer

这是一个包含直线的话法，圆 的填充的代码-This a straight line contains the words, the circle, the circle filled with the code

资源描述由于自然图像具有高度结构化特性，人类视觉特性（Human Visual System，HVS）倾向于从视觉图像中 提取结构信息，并且对图像的对比度高度敏感。Saad等人提出了一种基于DCT域统计特性的图像完整性评价 方法（BLIINDS）。BLIINDS提取 DCT 系数的统计特征，利用机器学习的方法来评价图像质量。BLIINDS 算法的模型训练不需要知道训练样本的 失真类型，并且特征训练过程简单，算法复杂度低于基 于两级框架的算法。

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)

e book for statistical signal processing estimation and detection.

本代码主要实现了BMP格式的文件读取、显示、保存等基本操作-This code mainly realize the BMP file format to read, display, preservation of the basic operation

英文OCR识别控件，可对验证码进行识别。带有演示源码。 int startX = 0 int startY = 0 int width = -1 int height = -1 try { startX = Convert.ToInt32(textStartX.Text) startY = Convert.ToInt32(textStartY.Text) width = Convert.ToInt32(textWidth.Text) height = Convert.ToInt32(textHeight.Text) } catch (Exception ex) { Console.WriteLine(ex.StackTrace) } String result = Marshal.PtrToStringAnsi(OCRpart(textImage.Text, -1, startX, startY, width, height)) textResults.Text = result -English OCR recognition controls, can be identified on the Verification Code. Demonstration with source code. int startX = 0 int startY = 0 int width =-1 int height =-1 try (startX = Convert.ToInt32 (textStartX.Text) startY = Convert.ToInt32 (textStartY.Text) width = Convert. ToInt32 (textWidth.Text) height = Convert.ToInt32 (textHeight.Text) ) catch (Exception ex) (Console.WriteLine (ex.StackTrace) ) String result = Marshal.PtrToStringAnsi (OCRpar