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Compressive-Classifier

于 2013-05-08 发布 文件大小:9KB
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下载积分: 1 下载次数: 102

代码说明:

  将压缩感知应用到图像分类方面,有详细的源码,下载就能运行(failed to translate)

文件列表:

Compressive Classifier
......................\CC
......................\..\FGSC.m,3550,2013-05-08
......................\..\FSC.m,3361,2013-05-08
......................\..\GSC.m,3627,2013-05-08
......................\..\NSC.m,3225,2013-05-08
......................\..\SC.m,3619,2013-05-08
......................\license.txt,1559,2013-05-08

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  • graydegree
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    积分:1
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    2019-04-11 09:12:00下载
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    图像处理源代码,进行图像插入,图像恢复,图像增强等,进行图像处理(Image processing source code, image insertion, image restoration, image enhancement and so on, to carry out image processing)
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    积分:1
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    图像融合程序,及论文 图像融合程序,及论文 图像融合程序,及论文(Image fusion procedure, and the paper image fusion procedure, and the paper image fusion process, and papers)
    2009-06-05 17:00:04下载
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    1.选择一幅图像,对该图像进行DCT块操作(将图像分成8×8小块,对每个小块进行DCT变换)。 2.利用屏蔽矩阵对DCT系数进行区域选择,然后进行逆变换(IDCT),合成原图像,计算合成图像的PSNR。 3.选择一小波函数,对一幅图像进行分解,显示各变换系数,观察其规律,并进行小波逆变换,合成原图像。 (1. Select an image, the image DCT block operations (the image is divided into 8 × 8 small pieces of each small piece for DCT transform). 2. The use of shielding on the DCT coefficient matrix of regional choices, and then inverse transform (IDCT), synthesis of the original image, calculating the synthetic image PSNR. 3. To select a wavelet function, decomposition of an image to show the transform coefficients, to observe its laws, and inverse wavelet transform, the original synthetic image.)
    2021-04-12 13:48:57下载
    积分:1
  • Image fusion
    基于稀疏表示的图像融合算法 KSVD OMP(Image fusion algorithm based on sparse representation KSVD OMP)
    2021-03-15 21:19:21下载
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    基于图论法的图像分割,是基于Matlab平台分割(segmentation by graphcut)
    2017-08-22 09:58:24下载
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  • Line-detection-method
    提出了一种基于图像边缘连接的线段检测方法。数字图像中的线段是由很多线段图元组成,在同一 条线段中,它们的方向是相同的并且受到真实线段的方向约束。因此可以通过提取小的线段图元, 然后分析它们 的连接特性, 进行线段的检测。首先用ADM 算法对图像进行边缘检测, 得到单像素宽的边缘 然后在4 个方向上 进行线段的检测 对初步得到的结果进行合并和验证, 去掉短的线段, 连接临近的线段。经过实验证明, 该方法能 够快速地提取图像中的线段,并且对噪声具有一定的鲁棒性(A line segment connecting a detection method based on image edges. The segment of the digital image is composed by many segments elements, their orientation is the same and by the real line segment direction constraint in the same segment. By extracting a small segment Element can then analyze their connection characteristics for the detection of the line segment. First with ADM algorithm for edge detection on the image to obtain a single-pixel-wide edge then in the four directions on the detection of the line segments merger and verification of the preliminary results obtained, removing the short line segments, the line segments connected near. The experiments show that this method can quickly extract the line segments in the image, and certain robustness to noise)
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