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Digital-Image(201008)
计算机图形学图像处理学习内容，附带PPT教程里面的代码。(the ppt for Digital Image)
- 2012-02-18 15:17:52下载
- 积分：1
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zhang-s-method-master
说明： 张正相机标定，用c++编程，亲证有用，里面有实际的图片，大家可以直接俄使用(Zhang zheng method it is very useful for camera detecting and it contains many pictures i hope you will get help from it)
- 2020-04-27 23:34:47下载
- 积分：1
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wavelet
基于小波变换的图像融合，已形成界面。可通过界面进行相关图像处理操作。(Based on wavelet transform image fusion, has become the interface. Interface can be related to image processing operations.)
- 2009-04-18 16:31:18下载
- 积分：1
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matlab(deletefog)
Matlab程序，利用curvelet变换和高斯逆滤波进行图像去雾，含效果图(Matlab program, using curvelet transform and inverse Gaussian image filtering to fog, with the effect of map)
- 2008-12-10 20:49:40下载
- 积分：1
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wnr
一个维纳滤波器图像恢复的MATLAB原码(A Wiener filter image restoration of the original MATLAB code)
- 2010-01-23 19:33:00下载
- 积分：1
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com
图像处理算法,实现多种对于灰度/二值图像的基本算法,包括灰度直方图,均衡化,门限处理,模糊,锐化,腐蚀,膨胀,掩模过滤,频域转换,边缘检测,梯度检测,二值化等等.实现的方法较多,且均经过一定的优化,效率不错.(Image processing algorithms to achieve a variety of for the gray/binary image of the basic algorithm, including the gray histogram, equalization, threshold treatment, blur, sharpen, corrosion, expansion, mask filter, frequency domain conversion, edge detection, gradient detection, binarization and so forth. The way to achieve more, and have to undergo a certain degree of optimization, efficiency, good.)
- 2010-02-21 17:03:30下载
- 积分：1
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C#联合halcon
说明： 图像采集，简单的c#联合halcon做ncc模板匹配的操作(Image acquisition, simple C# combined with Halcon to do NCC template matching operation)
- 2020-10-23 15:34:15下载
- 积分：1
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stich
用matlab实现两幅彩色图像的无缝融合，输出结果为灰度图象(Using two color images matlab realize seamless integration, the output for gray-scale image)
- 2008-05-21 20:05:57下载
- 积分：1
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LevelSet_ChunmingLi_1.0
一种新的基于snake模型的水平集图像分割方法：用matlab编程实现，可进行灰度图像的分割，里面有演示实例，便于学习。(A new snake model based on the level set image segmentation methods: using matlab programming implementation, can be gray-scale image segmentation, there are demonstration examples for study.)
- 2009-03-16 13:22:33下载
- 积分：1
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StereoVision_SSD
本算法在Matlab2008b 环境下实现。包括main,san 和ssd 三个函数。
这次实现的算法并不是比较两个已经知道的点是否匹配，而是已知一个图形中的特征点，在另外一个图像中找到与其最匹配的点，匹配度用SAD 或者SSD 来度量。
main.m 是程序的入口，包括生成和读入实验数据，调用sad 函数和ssd 函数求匹配点，最后绘
制出最后的结果。sad.m 是用sad 度量方法在另一图中求解匹配点的函数实现，有3 个参数
y=sad(x,image1,image2)。其中x 是代匹配的数据，image1 是图像1 数据，image2 是图像2 数据。
从理论上分析，ssd 比sad 算法要复杂一点，经过测试，在一幅640*480 的图像中寻找10 个匹配点数据SAD 用时25.062519 秒，SSD 用时25.291432 秒。(The algorithm Matlab2008b environment to achieve. Including the main, san, and ssd three functions.
The implementation of the algorithm is not the point of comparing two matches already know, but the known feature points in a graphic, an image found in the other match with the most points, matching measured with the SAD or SSD.
main.m is the entry, including the generation and reading test data, call the sad ssd function evaluation functions and matching points, and finally draw the final result. sad.m measure is sad figure in another match point in the function implementation to solve, there are three parameters
y = sad (x, image1, image2). Where x is the generation of matching data, image1 is the data image 1, image2 is the image 2 data.
From the theoretical analysis, ssd little more complicated than the sad algorithm, tested in a 640* 480 images of 10 match points in the search for data using time 25.062519 seconds SAD, SSD with time 25.291432 seconds.
)
- 2011-01-25 19:06:47下载
- 积分：1
