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applepeo
苹果在线检测系统，实时性比较好，可用性更好，很好很好(Apple' s online testing system, real-time is better)
- 2009-02-19 15:42:10下载
- 积分：1
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cloud
这是一个很全的云模型图像处理，功能全，已运行(This is a good use of the cloud model program, function, good effect, has been in operation)
- 2020-12-28 19:09:01下载
- 积分：1
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摄像头录制
摄像头录制功能
- 2014-02-12下载
- 积分：1
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BJ200_4
一个很有用的SAR图片，可用于SAR图像的目标识别(A very useful SAR image can be used for target recognition SAR image)
- 2016-12-25 09:36:21下载
- 积分：1
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Iris-images-recognition
虹膜图像识别的完整程序，包括预处理，Hough变换定位中心，汉明距离匹配等。(Complete program iris recognition, including pretreatment, Hough transform positioning center, Hamming distance matching.)
- 2021-04-18 16:08:52下载
- 积分：1
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MTF
说明： 在光学系统中根据光学系统的孔径函数生成MTF曲线(n the optical system, the MTF curve is generated according to the aperture function of the optical system)
- 2021-04-28 09:08:44下载
- 积分：1
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autok
图像滤波matlab基于自适应k均值聚类的图像去噪方法(The image filter matlab image denoising method based on adaptive k-means clustering)
- 2021-04-19 15:18:51下载
- 积分：1
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Criminisi-original-gray
原始的criminisi灰度图像修复算法及实验图片(Original Criminisi grayscale image restoration algorithm and experimental images)
- 2013-05-10 10:01:35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
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MatlabStitching
图像拼接的matlab实现，内含有算法的设计文档和源程序等(Matlab implementation, image stitching algorithm design documentation and source code contains)
- 2021-01-31 10:48:37下载
- 积分：1
