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Image-segmentation-Extraction
一个车牌字符分割小程序，分割效率高。实现简单(A license plate character segmentation of small procedures, segmentation and high efficiency. Realize a simple)
- 2008-05-28 21:52:16下载
- 积分：1
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seisplot
SEISPLOT 可以弥补FIMAGE软件带来的不足，即可以实时地显示更多剖面。而且还可以进行其它格式的转换。(seisplot is a software for seismic profile viewing.)
- 2010-06-06 17:30:10下载
- 积分：1
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几何变换
数字图像处理中的几何变换，包括图像的平移，图像的镜像，图像转置，图像的缩放，图像的旋转以及三种插值算法(The geometric transformation in digital image processing includes image translation, image mirroring, image transposition, image scaling, image rotation, and three interpolation algorithms)
- 2017-11-03 16:33:11下载
- 积分：1
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iran-sar-image
insar图像数据，envisat卫星单视复数数据，可在matlab中直接打开(insar data, envisat single look complex data, which can be opened directly in matlab)
- 2017-05-24 00:51:40下载
- 积分：1
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TVAL3_v1.0
压缩感知重建算法,利用压缩感知理论实现用较少的采样量恢复出高分辨率的图像信息(compressive sensing reconstruction algoriyhm)
- 2013-08-26 10:18:54下载
- 积分：1
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sift_MATLAB
说明： SIFT的MATLAB源码，由加州大学的一位博士编写。(SIFT the MATLAB source code, from the University of California, prepared by Dr. A.)
- 2008-11-11 15:24:33下载
- 积分：1
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Blood_Vessel_Extraction
视网膜血管分割的matlab版本算法，该算法分割较为细腻(Retinal blood vessel segmentation)
- 2020-12-08 14:09:20下载
- 积分：1
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Matlab code for CS reocvery
压缩感知 图形图像 图像处理 数据恢复 代码(Data recovery of compressed sensing image image processing)
- 2018-01-31 21:01:31下载
- 积分：1
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gmm
混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型，他主要是有方差和均值两个参数决定，,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模，因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙的场景下,大而慢的运动目标的检测效果,引入权值均值的概念,建立背景图像并实时更新,然后结合权值、权值均值和背景图像对像素点进行前景和背景的分类。(Gaussian mixture model using K (essentially 3-5) Gaussian model to characterize the features of each pixel in the image, in the image of the new frame for updated Gaussian mixture model, with each pixel in the image with a Gaussian mixture current model matching, if successful, determined that the point of the background points, otherwise the former attraction. Throughout the entire Gaussian model, he mainly has two parameters determine the variance and the mean, the mean and variance of the study, to take a different learning mechanism, will directly affect the stability, accuracy and convergence model. Since we are moving object extraction of the background modeling, so the need for the Gaussian model variance and mean two parameters real-time updates. In order to improve the learning ability of the model, an improved method for updating the mean and variance of different learning rates to improve in the busy scene, large and slow moving object detection results, the introduction of)
- 2014-03-25 09:01:12下载
- 积分：1
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ART2
自适应随机共振算法实现,具体内容注释中会有解释.(Adaptive stochastic resonance algorithm, the specific content of the Notes will be explained.)
- 2021-04-15 16:08:55下载
- 积分：1
