two-number

人民邮电出版社，《VC++数字图像处理典型算法及实现》-- 第9章图像分割。 包括图像的并行边界分割、串行边界分割、并行区域分割、串行区域分割、Canny算子的实现等源代码(Posts )

实验一 直线生成算法 实验二 圆弧生成算法 实验三 窗口菜单交互界面 实验四 区域填充算法 实验五 裁剪算法算法 实验六 图形软件开发包/库应用 实验七 曲线的生成算法 实验八 曲面生成算法 实验九 二维图形变换(Experimental line generation algorithm experiment two arcs to generate the algorithm experimental three-window menu interface experiment four regional filling algorithm experimental five-clipping algorithm algorithm experiment six graphics software development package/library application experiment seven curve generation algorithm experiment eight surface generation algorithm experiments ninety-two dimensional graphics transform)

视频编解码技术，在有限带宽的情况下，能够大幅度的压缩编码比特数，图像的质量没有丝毫的下降。(Video codec technology, in the case of limited bandwidth can be substantial coding bits, the image quality is not the slightest decline.)

图像匹配，可以实现目标图像的匹配，匹配出最相似的训练图片。(Image matching, the matching can achieve the target image, matching the most similar training images.)

处理Gamma乘性噪声的PPB方法，考虑了非局部patch的相似性，可处理SAR图像去噪。(The PPB method for multicative noise removal, which based on the Probabilistic Patch similarity.)

关于运动目标检测与跟踪最新的算法 其效果比之前的跟踪算法好很多(The effect of moving target detection and tracking algorithm is much better than before the tracking algorithm)

VC++图像平滑处理+程序源码，实现图象的平滑（去噪声），锐化功能，测试时请在C盘下放一个测试用的Bmp图片，路径：C: est.bmp，没有的话没法测试。如上图所示是水平平滑处理，可以对比下，不过感觉颜色失真了，有兴趣的看一下。命令行编译过程如下： 　　vcvars32 　　rc bmp.rc 　　cl smooth.c bmp.res user32.lib gdi32.lib(VC++ image smoothing+ program source code, to achieve a smooth image (to noise), sharpening function in the C drive when testing a test of decentralization Bmp picture, path: C: test.bmp, no words can not test . Is shown above the level of smoothing, you can compare the next, but the feeling of color distortion, interested look. Command-line compiler as follows: vcvars32 rc bmp.rc cl smooth.c bmp.res user32.lib gdi32.lib)

说明：  《visual C++ 开发经验技术宝典》图像锐化处理，主要是将图像的亮度增加，颜色的鲜艳感增强。("Visual C++ development experience Technical Collection," Image sharpening, mainly to increase the brightness of the image, bright sense of color enhancement. )

说明：  显著性检测的代码，是程明明在12年的CVPR的文章，HC,RC的算法源码。(The code for saliency detection is the source code of Cheng Mingming's CVPR article, HC, RC, in 12 years.)

直线检测 Visual C++编写 用于图像处理(line segment detection)