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CVPR12_SAS_code
一种基于超像素的图像分割程序，是cvpr13年文章的相应代码，可以学习下(An ultra-pixel-based image segmentation procedure is the appropriate code cvpr13 In the article, you can learn under)
- 2014-03-26 16:05:10下载
- 积分：1
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a-weihted-blind-SR
利用加权矩阵的盲超分辨率方法重建出一幅高分辨率的图像(The weighted matrix method of blind super-resolution reconstruction of a high-resolution image)
- 2011-08-12 15:35:59下载
- 积分：1
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IVS
打开一个图像或者视频文件，相应的轮廓检测功能，视频运动物体的跟踪功能(applications on image，tracking objects in the video)
- 2010-11-22 21:46:29下载
- 积分：1
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huofuman
霍夫曼图像压缩编码，无损压缩，压缩率为2倍，压缩效果很好。(Image compression Huffman coding, lossless compression, the compression rate is 2 times the compression works well.)
- 2013-10-08 09:17:57下载
- 积分：1
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OMP2D
二维的OMP算法，封装完成的函数，可独立调用(Two dimensional OMP algorithm, wrapped function can be called independently.)
- 2020-12-28 17:09:01下载
- 积分：1
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flrna
VC调用matlab引擎因为类别当中没有此类,所以放到了数值计算(VC calls the Matlab engine because there is no such class, so it is put into numerical calculation.)
- 2018-08-04 06:34:40下载
- 积分：1
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quzao1
说明： 广义灰度数学形态学滤波，输入信号，结构元素的长度，类型(Generalized gray-scale mathematical morphology filter, the input signal, the length of structural elements, type)
- 2008-10-13 10:16:53下载
- 积分：1
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c_code_2d_3d
说明： 打包的二维三维图形图像处理源代码
稀有资源(packed 2D and 3D graphics processing source of scarce resources)
- 2006-05-05 08:09:19下载
- 积分：1
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CamshiftTrack
说明： 物体运动的跟踪，比如行人和车辆等物体的跟踪(Tracking the motion of an object, such as a pedestrian or vehicle)
- 2020-05-29 09:34:17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.
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- 2011-01-25 19:06:47下载
- 积分：1
