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ISODATA
ISODATA算法是在k-均值算法的基础上，增加对聚类结果的“合并”和“分裂”两个操作，并设定算法运行控制参数的一种聚类算法,从而实现遥感影像的非监督分类(ISODATA algorithm is a clustering algorithm based on K-means algorithm, which adds two operations of "merging" and "splitting" of clustering results, and sets the operation control parameters of the algorithm, so as to realize unsupervised classification of remote sensing images.)
- 2018-11-22 18:07:41下载
- 积分：1
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ssim
说明： 计算ssim值的程序，这个程序是用python语言编写的(Calculate the SSIM value of the program, this program is written in Python language.)
- 2020-12-10 21:06:24下载
- 积分：1
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NcutClustering-谱聚类和SVM相结合的图像分割程序
说明： 基于谱聚类和SVM相结合的图像分割程序，在matlab2016b中运行成功(Image segmentation program based on spectral clustering and SVM)
- 2019-11-21 16:18:08下载
- 积分：1
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Error-excitation
齿轮传动误差激励计算，ziji编程计算的(Gear transmission error excitation calculation, programming calculations by myself)
- 2020-12-03 09:29:25下载
- 积分：1
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sift
用sift算子对两幅图像进行特征点的自动搜索。(Sift operator with the image feature point english)
- 2009-02-17 16:24:10下载
- 积分：1
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test2
运动方向未知的运动模糊图像盲复原，包括移动像素和角度
(Movement direction of the motion-blurred images unknown blind rehabilitation, including moving pixels and angle)
- 2009-05-29 18:32:56下载
- 积分：1
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HOG
hog完整代码，图像处理方面，得到灰度分布直方图(Hog complete code, image processing, get gray distribution histogram)
- 2012-06-06 22:13:10下载
- 积分：1
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im_MSfilter
基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 (Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixels, that is, to converge to the same point as a starting point to the category and then assigned to this type of labeling of these starting points, at the same time to contain too few pixels to remove the category. Then, using thresholding segmentation method of binary image processing)
- 2009-06-11 16:45:22下载
- 积分：1
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快速独立分量分析 FastICA
说明： 独立分量分析，快速独立分量分析，FAST-ICA可以用(Independent component analysis)
- 2019-12-09 16:29:28下载
- 积分：1
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Combined-with-Canny
对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像
二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值
图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象
等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题(The disadvantage of the classical binary method Ostu Bernsen algorithm and algorithms exist were analyzed, one binding Canny operator image binarization method. This method considers the edge information and gray information, through seed near the edge point padding and a low threshold image to its repair in a high threshold binary image to obtain a binary result image, it solves the noise immunity classical binary method exists difference, rough edges, artifacts phenomenon and other shortcomings. the experimental results show that this method can solve the low-contrast image and the target image pixel gray uneven binary problem)
- 2020-07-01 12:00:01下载
- 积分：1
