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运动图像处理

于 2021-01-19 发布
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下载积分: 1 下载次数: 5

代码说明:

说明:  图像去模糊,各种传统滤波算法,逆滤波、维纳滤波、LR算法等等。。。针对图像运动模糊领域(Image to blur, a variety of traditional filtering algorithms, inverse filtering, Wiener filtering, LR algorithm and so on...Aimed at the field of image motion blur)

文件列表:

运动图像处理.py, 3167 , 2020-07-22

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    说明:  图像拼接的Harris 算法,精确有效,实现图像无缝拼接,多幅图片显示,谢谢,希望得到采纳(image mosaicHarris algorithm for image mosaic, accurate and effective, seamless image mosaic)
    2019-05-17 12:05:35下载
    积分:1
  • ostu
    经典的图像分割算法ostu,去两峰值之间的峰谷为阀值(Classical image segmentation algorithms ostu, to the peak and valley between two peaks as the threshold)
    2007-10-24 11:33:47下载
    积分:1
  • K-means
    经典的K均值聚类,源码加利用三维高斯简单数据的实现对三类数据的聚类(Achieve the effect of classical K-means clustering, plus simple data)
    2015-08-19 11:23:30下载
    积分:1
  • totalvariation
    使用全变分模型对受噪声污染的图像进行修复(Using the total variation model of the image affected by noise pollution, to repair)
    2010-05-17 16:21:20下载
    积分:1
  • CoSaMP_OMP
    orthogonal Matching Pursuit(OMP),CoSaMP算法的Matlab实现。(orthogonal Matching Pursuit(OMP),CoSaMP Algorithms)
    2012-02-03 12:29:44下载
    积分:1
  • asgmt1
    对于一张8位灰度图像lena.bmp 1)运用4×4抖动矩阵,生成对应抖动图像 2)生成有序抖动图像 3)对于一张24位彩色图像,生成4×4抖动图像( For a 8-bit gray image (lena.bmp) 1)Use a dithering matrix (4*4), generate the dithered image. 2) Generate the ordered ditering image (4*4). 3) For a 24-bit color image, generate the dithered image (4*4). )
    2011-10-15 10:51:41下载
    积分:1
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    缺陷检测,顶帽变换,底帽变换,halcon,可以直接使用(Defect detection, top hat transformation, and bottom cap transform, Halcon, can be used directly)
    2017-09-25 16:58:08下载
    积分:1
  • Log convert
    说明:  用C++实现的对数变换达到图像增强效果,代码亲测可用(Logarithmic transformation realized by C++ achieves image enhancement effect, and code pro-test is available.)
    2019-05-12 09:42:49下载
    积分:1
  • 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
  • 低照度增强算法
    一种可适用于复杂光照环境的低照度图像增强算法,即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正,可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现,虽然改进算法有效避免引入大量噪声,但仍有少量噪声存在,为了达到更好的视觉效果,利用改进的双边滤波对增强的图像进行处理,获得最后的增强图像。实验效果显示,该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )
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