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imagequality

于 2014-04-13 发布 文件大小:1KB
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代码说明:

  图像质量评价代码: 灰度平均梯度 边缘能量 方差 点锐度(image quality evalution method)

文件列表:

imagequality
............\edgeenergy.m,468,2013-01-18
............\GMG.m,845,2012-12-28
............\GMG2.m,358,2013-01-18
............\PSD.m,507,2013-01-18
............\variance.m,345,2013-01-18

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    2021-04-23 15:59:45下载
    积分:1
  • CVPR09-ScSPM
    基于稀疏编码和线性塔式匹配的图像分类算法。(This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification". )
    2010-11-18 22:12:00下载
    积分:1
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    完整的图像处理程序,完成基本的图像处理功能,如,各种二值化算法的实现,图像边缘检测,图像分割,降噪等。其中有车牌识别实例。(Complete image processing program, the completion of the basic image processing functions, such as, a variety of value of implementations of the algorithm, image edge detection, image segmentation, noise reduction. License plate recognition instance.)
    2013-01-30 15:41:10下载
    积分:1
  • gongetidudefangfa
    共厄梯度方法!!!本程序适用于求解形如f(x)=1/2*x Ax+bx+c二次函数的稳定点; (total Eritrea gradient method! ! ! The procedure will be applicable to solve the shape of f (x) = 1/2* x Ax bx c quadratic Function stability;)
    2007-05-15 15:48:31下载
    积分:1
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    hough变换,用于直线和圆,椭圆的检测,很实用(hough transform for line and circle, ellipse detection, it is practical)
    2009-01-02 19:43:09下载
    积分:1
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    图像工程作业3:基于视词袋模型的场景识别 (Scene recognition with bag of words)(Image Engineering Job 3: Scene Recognition Based visual bag of words (Scene recognition with bag of words))
    2021-04-20 16:58:50下载
    积分:1
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    图像处理的外文文献 很好的资源 有翻译 自己写的 很不错的效果(Good resource for image processing of foreign language literature written translation of their own very good results)
    2012-06-05 21:39:29下载
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    2012-10-16 02:47:43下载
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    说明:  基于高斯混合模型和隐马尔科夫模型的图像分割算法(Image segmentation algorithm based on Gaussian mixture model and hidden Markov model)
    2019-12-02 16:34:34下载
    积分:1
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    说明:  实现平滑0范数压缩感知算法,主要对二维图像进行压缩感知重构。自行设置图像的采样数目、添加图像即可运行,无需修改。(Realizes a smooth 0-norm compressed sensing algorithm, mainly for compressed sensing reconstruction of two-dimensional images. Set the sample number of the image by yourself, add the image to run, no need to modify.)
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