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pcannc
主分量分析对SAR图像目标进行特征提取，用最近临方法进行分类(Principal component analysis（PCA） of SAR image target feature extraction, classification using nearest-neighbor method)
- 2021-01-01 21:58:58下载
- 积分：1
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compare
直方图是以图形化参数来显示图片曝光精确度的手段，其描述的是图片显示范围内影像的灰度分布曲线。它可以帮助分析图片的曝光水平等一些信息。(Histogram is a graphical display picture exposure parameters to measure the accuracy of its description is the picture display grayscale images within the distribution curve. It can help you analyze the picture and some information on exposure levels.)
- 2013-08-03 14:33:32下载
- 积分：1
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FaceRecognitionBasedonWaveletTransform
基于小波变换的人脸识别代码本代码对图像进行小波分解，然后又用最近邻方法实现了图像的识别。(Face Recognition Based on Wavelet Transform code-wavelet based face recognition, the code of the image wavelet decomposition, and then with the nearest neighbor method to achieve the image recognition!)
- 2009-11-03 15:57:12下载
- 积分：1
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rotate
实现图像的旋转，根据旋转矩阵进行旋转,并对结果进行调整(rotate picture)
- 2010-01-14 17:46:45下载
- 积分：1
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123
用于图像特征提取的基于gabor小波变换，进行各种特征提取(Gabor wavelet transform for image feature extraction for various feature extraction)
- 2018-10-11 10:37:55下载
- 积分：1
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gaosilvbo
高通高斯滤波，LBP，LDP的matlab源代码，用于图像的增强，特征提取。(High-pass Gaussian filter, LBP, LDP matlab source code for image enhancement, feature extraction.)
- 2011-10-31 09:28:03下载
- 积分：1
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Image_Data1863613112005
Image Database 2.5.0 (w/ thumbnails)
- 2017-01-08 01:43:47下载
- 积分：1
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matlabGrabCutLazySnapping
说明： 使用LazySnapping算法对GrabCut算法进行改进(There are advanced segmentation algorithms in the literature which extends the concepts of graph cuts. Most prominent of them are Graph cuts and Lazy Snapping. Lazy napping is an interactive image cut out tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy.)
- 2020-11-26 00:29:32下载
- 积分：1
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D
说明： 在MATLAB中实现画无向网络图，可用于社群聚类分析中(In MATLAB,the drawing is not directed to network graph,which can be used in social cluster analysis.)
- 2017-07-16 11:30:11下载
- 积分：1
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Combined-with-Canny
对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像
二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值
图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象
等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题(The disadvantage of the classical binary method Ostu Bernsen algorithm and algorithms exist were analyzed, one binding Canny operator image binarization method. This method considers the edge information and gray information, through seed near the edge point padding and a low threshold image to its repair in a high threshold binary image to obtain a binary result image, it solves the noise immunity classical binary method exists difference, rough edges, artifacts phenomenon and other shortcomings. the experimental results show that this method can solve the low-contrast image and the target image pixel gray uneven binary problem)
- 2020-07-01 12:00:01下载
- 积分：1
