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TIP_ASDS_IR
基于自适应的区域选择和自适应的正则化得图像去模糊和超分辨处理，试过可以用(Based adaptive region selection and adaptive regularization was image deblurring and super-resolution processing)
- 2012-10-16 15:00:18下载
- 积分：1
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harriscornerdetector
说明： 图像处理基于harris角点特征的图像配准程序(Image processing based on the characteristics of harris corner image registration procedures)
- 2008-10-25 15:47:17下载
- 积分：1
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insar
关于insar方面问题的处理方法，是一个有效的实例(InSAR aspects on the treatment method is an effective example of)
- 2008-03-26 09:25:08下载
- 积分：1
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abc
八种图像置乱方法：希尔伯特变换、采样置乱、ZIGZIG置乱、等等等等(Eight kinds of image scrambling method)
- 2012-01-10 21:03:36下载
- 积分：1
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A微波遥感编程实习
微波遥感集中实习SAR影像几何校正，微波遥感几何校正(geometric correction of SAR)
- 2020-06-28 19:00:01下载
- 积分：1
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denoise
奇异值分解等方法对噪声进行去噪，算法简单，清晰易懂(Singular value decomposition method to noise denoising algorithm is simple, clear and easy to understand)
- 2013-01-18 10:27:41下载
- 积分：1
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ridgelet_transform
说明： 一个用于图像描述表示的脊波变换程序，值得参考。(Used to describe an image expressed by the ridge of wavelet transform process, a good reference.)
- 2010-03-17 11:53:07下载
- 积分：1
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MSR_original
多尺度加权的rentinex算法实现图像增强，里面用到了高斯滤波对图像进行滤波，可以去除大部分的噪声，平滑图像效果较突出，3个高斯尺度对图像做滤波后加权在一起得到多尺度信息的图像。(Multiscale weighted rentinex algorithm is used to enhance the image. Gauss filter is used to filter the image, which can remove most of the noise. The smoothing effect of the image is prominent. Three Gaussian scales are filtered and weighted together to get the multi-scale information of the image.)
- 2020-07-03 06:40:02下载
- 积分：1
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LevelSet_ChunmingLi_1.0
一种新的基于snake模型的水平集图像分割方法：用matlab编程实现，可进行灰度图像的分割，里面有演示实例，便于学习。(A new snake model based on the level set image segmentation methods: using matlab programming implementation, can be gray-scale image segmentation, there are demonstration examples for study.)
- 2009-03-16 13:22:33下载
- 积分：1
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two
：植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。然而，低维特征不能全面描述叶片信息，识别准确率低，本文提
出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理，获得去除颜色、虫洞、 叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征，对灰度图像提取 Hu不变矩特征、灰 度共生矩阵特征、局部二值模式特征和 Gabor 特征，对纹理图像提取分形维数，共得到 2183 维特征参数。再采用主成分分析与线性 评判分析相结合的方法对叶片多特征进行特征降维，将叶片高维特征数据降到低维空间。使用降维后的训练样本特征数据对支持向量 机分类器进行训练(plant species identification method is mainly based on blade automatic identification of low dimensional characteristics.However, can not fully describe blade low-dimensional feature information, identification accuracy is low, in this paper
A kind of plant leaves recognition method based on multiple feature dimension reduction.First by digital image processing technology to the plant leaf color sample image preprocessing, obtain background color removal, wormhole, petioles, and the blades of a binary image, gray image and texture image.Then the binary image to extract the geometric characteristics and characteristics of structure and characteristics of gray image extraction Hu moment invariants, gray co-occurrence matrix feature, local binary pattern features and Gabor, to extract the fractal dimension of texture image, get 2183 d characteristic parameters.By principal component analysis and linear uation analysis method of combining the characteristics of blade more feature dimensi)
- 2017-02-28 09:57:50下载
- 积分：1
