drawing the ball photoirradiation

用vc编写的一个图像处理方面的原程序 很好用-vc used to prepare an image processing of the original program with good

直方图修正，可进行图象反色,灰度转换,对比度扩展,削波,阀值化。-histogram that can be conducted anti-image color, grayscale conversion, contrast expansion, cutting wave of threshold.

图像处理程序集，包含滤波，边缘检测，分割等-Image processing assembly, including filtering, edge detection, segmentation, etc.

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

分析bmp文件的基本信息, 并提取位图数据信息.-Analysis of the basic information bmp files, and extract bitmap data.

指纹识别，不错的 是matlab原程序，大家可以事实啊-fingerprint identification, Matlab is a good program, we can fact ah

Texture detection is one of important aspects in Image processing. -Texture detection is one of important aspe Image processing in cts.

一个matlab写的 颜色系转换程序 为了处理些特殊的彩色图像十分有用-Matlab write a line of color conversion process in order to deal with some special color images are useful

TUKE.txe文件中有200个离散点的坐标值,本程序实现生成这些点的凸壳.-TUKE.txe document is 200 discrete points of the coordinate value, The program generating these points of the convex hull.

用C++实现的OTSU大津阈值分割方法，使用的是图像的全局阈值-With C++ Realize the OTSU Otsu threshold segmentation method, using images of the overall threshold