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L2
说明： 基于L2范数的多帧图像超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。(Based on the L2 norm of the multi-frame image super-resolution image reconstruction algorithm, on the basis of existing algorithms to improve computational accuracy and efficiency.)
- 2012-08-20 20:45:14下载
- 积分：1
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tuxiang
滤波的方法有很多，其中小波滤波很实用，提出了一种二进小波变化的算法。(There are a lot of filtering method, the wavelet filter is very practical, this paper proposes a binary wavelet algorithm.)
- 2013-10-18 19:58:54下载
- 积分：1
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SLICPdbscan
运用超像素分割算法对图像进行预分割，再利用dbscan聚类算法进行聚类最终实现图像分割。(The use of ultra-pixel segmentation algorithm for image pre-segmentation, reuse dbscan clustering algorithm to cluster the final image segmentation.)
- 2017-03-11 17:17:57下载
- 积分：1
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yasuobianma
图像处理.最全的压缩编码与解码.非常值得学习(Image processing most complete compression encoding and decoding. Worth learning)
- 2016-09-22 19:03:03下载
- 积分：1
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Lee
增强型Lee滤波，附有详细注释，简单易用，参数可调(enhanced LEE filter)
- 2021-04-17 16:38:52下载
- 积分：1
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yuezhifenggedejizhngsuanfa
在做图像处理时用遇到图像的阈值分割，这是几种图像的阈值分割方法(In doing image processing with experience image threshold segmentation, which is one of several image thresholding segmentation method)
- 2013-11-22 16:01:06下载
- 积分：1
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level-set
水平集分割图像的一种算法，属于比较前沿的一种图像分割方法。(A level set image segmentation algorithm, a relatively cutting edge of a segmentation method.)
- 2011-05-22 09:49:33下载
- 积分：1
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canvas-sample
free-vision library,计算机视觉C++库，含有SAMPLE,非常经典！(free-vision library, computer vision C library, containing SAMPLE. very classic!)
- 2006-10-22 21:46:43下载
- 积分：1
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MRFFCM
该源程序实现了SAR图像变化检测的功能，方法是基于修正马尔科夫随机场的模糊C均值实现SAR图像的变化检测。(The source program realizes the function of SAR image change detection. The method is based on modified Markov random field fuzzy C-means to realize SAR image change detection.)
- 2020-12-08 19:19:19下载
- 积分：1
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yuzhihuafenge
图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前，图像区域的数目未知，而在分割后各个区域同时满足均匀性和连通性的条件，故图像分割是一个复杂的过程，目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值，然后把每个像素点的像素值和阈值相比较，根据比较的结果把像素划分为两类，前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代码就是图像的阈值分割。(The image segmentation is divided into the practical significance of the emerging area of complementary set. In the image segmentation, before the number of image region, the unknown, and after each area in division at the same time satisfy the uniformity and connectivity condition, so the image segmentation is a complicated process now, most research are for a certain type image or a particular application of the division. Image threshold segmentation of the basic idea is to determine a threshold, then put each pixel threshold value of the pixels and compared, according to the result of the comparison the pixel divided into two categories, the prospect (1) or background (0). This method is the key to determine an optimal threshold. Commonly used method to determine the threshold value of direct threshold method, the largest of the variance between method (otsu method), watershed algorithm, the minimum error method, the maximum entropy method, etc. When the code is image threshold segm)
- 2011-11-14 21:10:46下载
- 积分：1
