资源列表
simple
- 读入时钟图片，利用图像处理的相关知识对其进行识别，准备读取时钟上的时间-Read clock pictures, using image processing knowledge to recognize it, ready to read the time on the clock
pixel
- 用一个简单的例子来说明如何遍历图像：减少图像中的颜色数目。 彩色图片由三个通道，由于每一个强度都是一个8位的unsigned char 表示，所以所有可能的颜色数目为256*256*256，很是庞大。为了降低分析的复杂度，降低图片的颜色数目是有用的。 这个算法很简单，对图片中每个像素的每一个通道，将其值除以N（整数除法，舍去余数），然后乘以N，这样就能得到不大于原始像素值的N的最大倍值。-Use a simple example to illustrate how to tr
textEdit
- 文档的打开和保存相关操作，简单实用的一些操作，是初学者很好的练习题-Open and save documents related operations, some simple and practical operation, good exercises for beginners
Hough2013
- hough变换的直线检测方法，加入了通过直线斜率滤除干扰直线-hough transform line detection method, adding a straight line through the slope of the line filter interference
Edge-detection
- 不用库函数，实现基本的图像边缘检测，主要以下三个算法：Laplacian, Roberts, Sobel and the Prewitt Edge detection algorithms-Implement three Edge detection algorithms:Laplacian, Roberts, Sobel and the Prewitt Edge detection algorithms
DT
- 对于三维数据的提取骨架结构的DT算法-Skeleton extraction algorithm for three-dimensional data DT
Lv-Bo-caozuo
- 在MFC平台下进行RAW图像的高通、低通滤波操作，操作后自动保存处理过的图像。-RAW images on the high-pass and low-pass filtering, Open the image on MFC framework.After it is processed ,it will automatically saved.
image-coding
- 用matlab实现算数编码、哈弗曼编码以及LZW编码（能够区分大小写和数字进行编码）含测试文本和结果-Using matlab realize arithmetic coding, Huffman coding and LZW coding (case-sensitive and numbers can be encoded) containing test text and results
mVmodel
- matlab与C的混编，处理乘性噪声，建立M次开根号模型，需要调整参数。-written with matlab and C by S. Yun and H. Woo, "A new multiplicative denoising variational model based on m-th root transformation".
TwoLevelmodel
- matlab和C混编，处理乘性噪声，求解变差模型。-Written by M. Kang, S. Yun, and H. Woo, the corresponding paper is "Two-level convex relaxed variational model for multiplicative denoising"
AMA_denoising
- matlab 与C混编，通过交替最小化方法求解乘性噪声模型，利用了shifting技术。-Written by H. Woo and S. Yun, the corresponding paper is "Alternating minimization algorithm for speckle reduction with a shifting technique"
ImageProcesser
- 一些图像增强和去噪算法的实现，处理的图片不能超过341*341像素，否则显示有问题。-Some image enhancement and denoising algorithm, the pictures can not be more than 341* 341 pixels, or there will be some display problems。