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psnr
求图像峰值信噪比,可以用于图像质量的评估。(Peak signal to noise ratio for images that can be used for image quality assessment.)
- 2008-05-26 16:28:35下载
- 积分:1
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HIO_ER_stable
相位恢复算法,利用恢复图像在时域必须是正实值以及正逆傅里叶变换进行恢复(phase retrieve)
- 2020-11-23 09:39:34下载
- 积分:1
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tuxiangronghejishu
详细介绍了图像融合的数字水印技术,可以作为毕业设计的良好借鉴素材(Details of the digital watermarking technique of image fusion can be used as a good reference material Graduation)
- 2010-10-27 20:02:00下载
- 积分:1
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noise genre
用matlab产生高斯,椒盐,泊松噪声图像的完整代码(poisson, gossip,noise,salt&pepper)
- 2018-05-01 09:59:07下载
- 积分:1
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fbpreconstruction
fbp算法实现CT重建,包括不同投影个数、探测器个数和噪声对重建后图像的质量的影响。(FBP CT reconstruction algorithm, including the number of different projection, and the number of detector noise on the reconstructed image quality.)
- 2008-01-11 11:17:27下载
- 积分:1
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target-tracking-radar
下面是利用卡尔曼滤波的方法,实现雷达对目标的跟踪:一目标沿水平方向运动,起始位置为(-2000米,1000米),运动速度为15米/秒,扫描周期T=2秒, 米,采用蒙特卡洛方法对跟踪滤波器进行仿真,仿真次数为100次。(Below is the use of Kalman filtering method, to achieve the target tracking radar. Parameter :: a target in a horizontal direction, the starting position (2000m, 1000m), the motion speed of 15 m/s, the scan period T = 2 seconds, rice, Monte Carlo method using the tracking filter simulation, simulation 100 times.)
- 2013-05-23 16:13:31下载
- 积分:1
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rbm
深度学习相关代码实现,可以用来做去噪,去模糊,回归,识别等( Initialize and train an RBM energy-based model. Supports binary, Gaussian,
and multinomial inputs (still in development).
Supports binary and noisy rectified linear units (NReLU) in the hidden layer.
Supports joint modeling of binary and multinomial variables for classification.)
- 2014-05-08 10:57:43下载
- 积分:1
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chazhi
利用matlab进行插值法亚像素边缘检测,提取零件轮廓(Subpixel edge contour extraction)
- 2019-03-14 15:00:10下载
- 积分:1
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houghline
实现在matlab环境下的直线检测,效果很好,请大家试试。(Realize in the matlab environment linear detection, the effect of good, please try everyone.)
- 2008-05-15 22:49:05下载
- 积分:1
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Gabor和Log Gabor
说明: 包括三种gabor方案,3尺度4方向、4尺度6方向、5尺度8方向(Includes three gabor schemes, 3 scale 4 direction, 4 scale 6 direction, 5 scale 8 direction)
- 2019-05-30 19:38:12下载
- 积分:1