suif1.info-3.tar

说明：  canny算子边缘提取。用matlab编写，并有详细的解释。(use matlab to canny edge detection operator,with a detailed explanation.)

基于直方图的多阈值分割可以求出三个阈值，适合CT图像分割(Histogram-based multi-threshold segmentation can be obtained three threshold for CT image segmentation)

本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过 大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、 立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on the Python language.A large number of examples carefully analyze object recognition, content based image search, optical character recognition, optical flow, tracking, 3D reconstruction,Stereoscopic imaging, augmented reality, attitude estimation, panoramic creation, image segmentation, noise reduction, image grouping and other techniques.)

说明：  本程序使用MFC编写了一个能够在同一界面上显示立体图形的三视图的源程序。(This program using MFC wrote a can in the same interface shown on the SanShiTu three-dimensional graph of the source program.)

CCD工作原理教程 图像传感器原理介绍（CCD和CMOS介绍）(CCD image sensor principle works tutorial introduction (CCD and CMOS description))

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)

imnoise的M文件，对数字图像的加噪声非常有用处！(imnoise M-files, plus noise on digital images is very useful!)

它所描述的是不同色彩在整幅图像中所占的比例，而并不关心每种色彩所处的空间位置，即无法描述图像中的对象或物体。颜色直方图特别适于描述那些难以进行自动分割的图像。(It describes the proportion of different colors in the entire image, and does not care about the spatial location of each color, that is, it can not describe objects or objects in the image. Color histograms are especially suitable for describing images that are hard to segment automatically.)

Pixel design for H-noise cal; imageJ platform ; test done

说明：  通过超像素算法，读入图片确定分割数，得到最佳图像分割结果(Through the superpixel algorithm, read in the picture to determine the number of divisions to get the best image segmentation result)