HOUGHTRANSFORM uses Hough transform for line detection. (very fast and easy solu...

TI DM642开发的实用程序： 包括：YUV视频格式转换成RGB格式C版本程序、ASM版本程序以及有关中值滤波的C程序； 相当有用！

图形配准的程序，对有需要的一定会有帮助的。-Graphic registration procedures will be in need of help.

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

这个一个opencv入门级代码，实现腐蚀功能。可以借鉴学习opencv的库调用-an entry-level code to achieve corrosion function. OpenCV can draw on and learn from the library call

很齐全的图像处理算法，包括各方面的图像处理简单算法-A very complete image processing algorithms, including all aspects of a simple algorithm for image processing

matlab图形图像处理源程序，对于数字图像处理很有帮助-matlab6graphic image processing source code

是图形学中经典的活动边表的算法，老师评价破高的-Graphics is the classic side table algorithm, the teacher evaluation breaking high

图像分割，主要实现不同算子的分割，还包括Canny算子实现-Image segmentation, the main operator realize different partition, but also realize Canny operator

这是智能剪刀的一个改进方案，很值得学习的-This is a smart pair of scissors to improve the program, it is worth learning

迭代算法求自适应全局阈值，通过这种算法得出的阈值能够很好的把目标区域和背景区域区分出来。-Iterative algorithm for adaptive global threshold, this algorithm can be derived from the threshold to a very good target area and background of the regional distinction.