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xi_hua
对图像进行细化，本实验的细化对象是一组指纹二值图。(Image refinement, the refinement of the experimental object is a set of fingerprint binary image.)
- 2008-02-01 13:26:18下载
- 积分：1
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EmGMM
高斯混合模型的最大期望迭代求解算法,可用于图像区域灰度分布估计(Expectation maximazation(EM) for Gaussian mixture model(GMM) )
- 2016-03-26 20:26:10下载
- 积分：1
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MATLAB
二维地震信号的emd实现，逐道分解，挑选信号主导分量(EMD realization of two-dimensional seismic signal, decomposition by channel, selection of signal dominant component)
- 2018-01-08 10:17:59下载
- 积分：1
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10
说明： 在IDL中将.nc格式的数据读取并绘图，文件夹中附有示例数据。(Reading and drawing data in.Nc format in IDL)
- 2018-01-14 18:00:51下载
- 积分：1
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KNearestclass
使用K近邻算法对一个2维德样本集进行分类，样本集的分布为混合高斯分布。(K nearest neighbor to use a 2 Verde sample set for classification, the distribution of sample set for mixed Gaussian distribution.)
- 2008-06-25 04:50:13下载
- 积分：1
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svm
SVM 用于基于块划分特征提取的图像分类源码(SVM for feature extraction block-based image classification into source)
- 2013-10-18 16:04:59下载
- 积分：1
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dvi
说明： 利用IDL语言编写程序 计算差值植被指数，包括波段的读取，波段数据的分块和指数计算(Using IDL language program to calculate the difference vegetation index, including the band read the sub-band data block and index calculation)
- 2021-04-02 20:09:06下载
- 积分：1
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ReadWordXML.java
DOCX Parser, extracts inline images quiz
- 2016-11-30 04:43:13下载
- 积分：1
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dilate.erode
自己编写的数学形态学膨胀和腐蚀的matlab算法 适用于二值和灰度图象 (I have written mathematical morphology and corrosion expansion matlab algorithm for binary and gray-scale image)
- 2008-05-22 15:11:47下载
- 积分：1
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低照度图像增强算法
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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- 2020-07-16 22:18:49下载
- 积分：1
