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lecture7
Image retrieval lecture
- 2012-03-04 04:24:55下载
- 积分：1
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amfm
基于AM-FM纹理模型的图像特征提取方法研究(AM-FM texture model-based image feature extraction method)
- 2013-04-18 10:36:50下载
- 积分：1
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图像修复
说明： 应用DCT字典和KSVD学习字典，对图像进行简单的修复，可行性较高，速度不是很快。(Simple image restoration is feasible and not very fast.)
- 2020-06-28 20:00:01下载
- 积分：1
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SAR_image_processing
SAR复数数据转换，RAW格式数据转换，雷达图像滤波，LEE-sigema滤波，Frost滤波，Gamma-MAP滤波，KUAN滤波，雷达图像几何处理，斜距到地距转换程序。(SAR complex data conversion, RAW format, data conversion, radar image filtering, LEE-sigema filter, Frost filter, Gamma-MAP filtering, KUAN filtering, radar image geometry processing, slant range to ground from the conversion process.)
- 2010-01-26 09:52:42下载
- 积分：1
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zengqiang
图像增强里的小程序，有中值滤波，平滑处理还有频域增强(Image Enhancement in the small procedures, median filtering, smoothing also enhanced the frequency domain)
- 2010-06-15 20:54:02下载
- 积分：1
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23214419BFA-code
实现图像识别，基于小波变换实现图像特征提取，然后神经网络进行训练(The image recognition is realized, the image feature extraction is realized based on wavelet transform, and then the neural network is trained.)
- 2018-04-05 10:14:51下载
- 积分：1
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im_denoise
几种经典的图像平滑去噪算法程序，其中包括小波软阈值和硬阈值处理。还附送三个图像质量评价程序(several classic image denoising smoothing algorithm procedures, which include thresholding wavelet soft and hard threshold processing. Also attached three image quality evaluation procedures)
- 2006-11-06 10:02:10下载
- 积分：1
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Pansharpening
基于非局部图像去噪模型的遥感图像融合的变分方法。该变分方法采用梯度下降法。(Variational method of remote sensing images nonlocal image denoising model fusion. The variational method using gradient descent.)
- 2014-04-18 10:43:31下载
- 积分：1
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Gabor_GLM_FEX
视网膜血管检测的Gabor变换和机器学习，教程
本教程将演示如何Gabor变换和广义
的线性模型（GLM）可用于视网膜血管检测
图像。
，我们将尝试检测视网膜血管从
的训练图像，首先，Gabor滤波器与图像卷积。
GLM将使用Gabor变换的图像特征确定
（独立变量）和容器的位置
为结果（因变量）。( Retinal Vessel Detection by Gabor Transform and Machine Learning, a Tutorial
This tutorial will demonstrate how Gabor transforms and generalized
linear model (GLM) can be used for detection of retinal vessels in
images.
Specifically, we will attempt to detect the retinal vessels a
training image , by first, convoluting multiple Gabor filters with the image.
A GLM will be determined using the Gabor transformed images as features
(the independent variables), and the locations of the vessels
as the outcome (the dependent variable).)
- 2017-05-11 12:25:03下载
- 积分：1
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waterline
用水线阈值法分割图像：通过对图像进行高帽、低帽变换，并将得到的结果进行相减，可以增强图像，然后利用分水岭算法就行分割！(Water line thresholding segmentation image: The image of flattery, low cap transformation, and will be the results of subtraction, it can enhance image, and then use the watershed segmentation algorithm on the line!)
- 2008-05-17 09:36:15下载
- 积分：1
