opencv 读图像,feichangbucuo

图像阈值分割是图像理解的关键一步，做好了阈值分割，才能更好的实现图像特征提取和特征匹配。-Image Threshold Segmentation is a key step in image understanding, good threshold segmentation in order to better realize image feature extraction and feature matching.

一个关于人脸检测的程序，在检测的同时还能够进行图象处理，例如脸部区域分割等。-one on the face detection procedure in the detection at the same time also be able to process the images. For example, facial and other regional segmentation.

简单播放器 directshow 开发,能够满足各种avi文件的播放-directshow simple player development, to meet all the documents broadcast avi

arx 2005中图块及对话框的使用示例-arx 2005 which block the use of dialog boxes and examples

边界方向的直方图统计。采用canny算法实现。 测试图片说明：（图像路径名请在main函数中AnsiString name="1.bmp" 中设定) 1.bmp、2.bmp用来测试尺度变换后图像的识别； 3.bmp、4.bmp用来测试尺度变换后图像的识别； 2.bmp、2_shift.bmp用来测试平移后图像的识别。 实现输出灰度图、平滑图、边缘图以及双阈值处理后的边缘图； 运行后文件夹应该有Image1.bmp,Image2.bmp,Image3.bmp,Image4.bmp； 实现输出灰度图、平滑图、边缘图以及双阈值处理后的边缘图； 边界直方图数据和归一化后直方图数据分别保存在histogram.txt和NormalHistogram.txt中。-Border direction histogram statistics. Canny algorithm used. Testing Photo caption: (image path name in the main function AnsiString name = 1.bmp set) 1.bmp, 2.bmp used to test scaling image identification 3.bmp, 4.bmp used to test After scaling the image identification 2.bmp, 2_shift.bmp used to test post-translational image recognition. Realize the output grayscale, smooth map, edge map, as well as dual-threshold edge map after the treatment running folder should have Image1.bmp, Image2.bmp, Image3.bmp, Image4.bmp realize grayscale output, smooth map, edge map, as well as dual-threshold edge map after the treatment border histogram data an

2*8LCD显示器驱动，型号为：JHD 162A-2* 8LCD display driver, model: JHD 162A

魔法转换能够实现GIF->EMF,但转换后的图片不透明,这个软件能够将透明的GIF图片转成透明的EMF图片delphi5控件:TGIFIMAGE-Magic conversion can be achieved GIF-

本程序是对图象进行均衡化处理源程序主要用来参考学习-this program is to facilitate a balanced image processing for the main reference source study

可以实现图像的任意角度旋转，自己可以随意输入任何角度-Images can be achieved at any angle of rotation, they can enter any arbitrary angle

This packet contains the MATLAB files that fit a hidden Markov tree model to the contourlet coefficients of images. The files require the contourlet Toolbox, which can be downloaded from http://www.programsalon.com/downloads121/sourcecode/graph/detail516305.html.