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CFA
基于CFA(颜色滤波阵列)插值检测的图像篡改检测程序(Image tamper detection based on CFA (color filter array) interpolation detecting.)
- 2020-11-23 10:39:35下载
- 积分:1
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Rect_Insert
说明: 针对输入180个波束数据,通过使用抛物线插值法进行插值,最终得到720个波束的数据,用于图像显示(For 180 beam data input, 720 beam data are obtained by parabola interpolation method for image display)
- 2020-03-25 14:30:59下载
- 积分:1
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nihe
提取二值图像中的所有非零点坐标,进行矩阵标准化,最后进行二次曲线拟合(Extracting the binary image of all non-zero coordinates, matrix standardized last quadratic curve fitting)
- 2020-09-15 16:07:56下载
- 积分:1
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RemoteControl-1
说明: 一个用VC++6.0编的程序例子,实现远程屏幕图像的传输
(a VC 6.0 Provision procedures example, remote screen image transmission)
- 2020-11-03 18:59:52下载
- 积分:1
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FaceNormalization
这是一种很强的人脸检测程序,你可以试试,但我也不知是用什么方法。(This is a very strong face detection process, you can try, but I do not know in what ways.)
- 2007-12-06 09:17:17下载
- 积分:1
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stblpdf
alpha稳定分布噪声的matlab实现(alpha stable distribution noise matlab implementation)
- 2021-04-06 08:59:02下载
- 积分:1
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Edge-Detection-Algorithm
图像边缘检测,实现了几种边缘检测算法,像Roberts,Sobel,Prewitt,Canny等(Edge detection, edge detection algorithm to achieve several, such as Roberts, Sobel, Prewitt, Canny, etc.)
- 2021-03-17 08:49:21下载
- 积分:1
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image_processing
本程序是基于Matlab的米粒图像的分割、计数以及周长、面积、形状因子等参数的计算。图像分割是基于腐蚀膨胀算法,选用边界跟踪法计算周长,程序代码清晰明了,对于参数的计算速度较快,且参数计算精度较高。(This procedure is based on the Matlab image segmentation grain of rice, counting and perimeter, area, shape factor and other parameters of the calculation. Image segmentation is based on the corrosion expansion algorithm, the choice of boundary tracking method perimeter, code clarity, the parameter calculation is faster and higher precision parameters.)
- 2010-12-20 17:45:09下载
- 积分:1
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341
图形密码源码程序,例程结合易语言特殊功能支持库,调用API函数判断图形图像的点击顺序。(Graphics password source programs, routines combined with special features easy language support library , call the API function to determine whether a graphic image click sequence.)
- 2016-04-29 15:49:03下载
- 积分:1
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TVdenoise
全变分去噪
J=tv(I,iter,dt,ep,lam,I0)
输入: I - 灰度图像,
iter - 迭代次数 [1],
dt - 时间步长 [0.2],
ep - 提升参数epsilon [1],
lam - 保真项 lambda [0],
I0 - 输入噪声图像 [I0=I]
([]中的是缺省值)( 全变分去噪
J=tv(I,iter,dt,ep,lam,I0)
输入: I - 灰度图像,
iter- 迭代次数 [1],
dt - 时间步长 [0.2],
ep - 提升参数epsilon [1],
lam - 保真项 lambda [0],
I0 - 输入噪声图像 [I0=I]
([]中的是缺省值))
- 2010-10-22 17:29:44下载
- 积分:1