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gmm-cv
OpenCV_基于混合高斯模型GMM的运动目标检测。内附监测监控视频，方便测试使用。(OpenCV_ GMM Gaussian mixture model based moving target detection. Included monitoring surveillance video, easy testing.)
- 2014-02-26 14:47:48下载
- 积分：1
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edge-detectinterpolation
new edge-directed interpolation这篇文章所提算法的matlab实现(new edge-directed interpolation algorithm in this article referred to realize matlab)
- 2008-03-13 16:07:17下载
- 积分：1
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DTCWT
dtcwt 双树复小波的matlab工具箱,(dtcwt dual tree complex wavelet Matlab toolbox,)
- 2021-04-07 17:39:01下载
- 积分：1
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mygui
设计GUI界面，方便用户录制原始语音信号，加入噪声并选择滤波器滤除噪声。(Designed GUI interface, user-friendly recording of the original speech signal, adding noise and select a filter to filter out noise.)
- 2012-10-25 14:26:03下载
- 积分：1
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extract
该程序是对输入的数字图片进行特征提取，以得到图片对应的向量，从而为下一步的识别提供帮助。(The program is to input the number of picture feature extraction in order to obtain the corresponding vector images, so as to identify the next step to help.)
- 2008-03-16 15:38:44下载
- 积分：1
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daima
背景音乐只是随便写了写,具体的可以改数组里的数字.有点闪的效果还是不太好看.
(Background music just casually write write array of specific numbers can be changed. Bit flash effect is still quite nice.)
- 2014-01-10 20:13:52下载
- 积分：1
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work234
说明： 利用小波进行边缘提取，比较各种小波核函数的能力，体会“数学显微镜”的妙用，例子：车牌定位。(using wavelet edge detection, comparison of different wavelet function of the nuclear capability and experience "math microscope," the magic examples : positioning plates.)
- 2006-01-07 16:08:34下载
- 积分：1
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PICPRO
该代码，利用GDAL 1.4.2库实现遥感图像的几何校正、图像配准等，vs 2010实现。(The code GDAL 1.4.2 library implementation of remote sensing image geometric correction, image registration, vs 2010.)
- 2012-08-31 10:29:39下载
- 积分：1
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FuzzyMath
说明： 用PALKING模糊方法进行边缘检测，还有3个自适应改进方法(PALKING fuzzy method with edge detection, there are three adaptive Improvement)
- 2011-03-07 20:20:21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
