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0305_mser
mser算法(Maximally Stable Extremal Regions)代码,非文章作者写的,但是还不错,matlab实现。(mser algorithm (Maximally Stable Extremal Regions) code, non-article the authors write, but also good, matlab realize.)
- 2008-05-29 09:14:16下载
- 积分:1
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Susan
说明: Susan角点提取检测,进行图像处理,主要运用在数字水印特征提取方面(Susan,In the aspect of image feature extraction, watermark is mainly used for corner detection)
- 2021-04-06 11:03:19下载
- 积分:1
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jpeg
本项目成功地实现了jpeg图像的压缩非常实用!!!!!!(The project successfully realized the jpeg image compression is very useful!!!!!!!!!!!!!!!!)
- 2016-03-13 05:37:57下载
- 积分:1
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WAV-LSB-Watermark
WAV音频的LSB信息隐藏,隐藏文件为二值图像,Matlab编程(WAV audio LSB information hiding, hidden files as binary image, Matlab programming)
- 2020-11-18 17:49:38下载
- 积分:1
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Dechirp
雷达成像Dechirp 脉冲压缩代码 ,感兴趣的可以看看。(Radar the imaging Dechirp pulse compression code, and can see the interest.)
- 2012-10-23 19:52:29下载
- 积分:1
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opencv-fft2
灰度图像的二维傅里叶变换(cv_gray_fft2),二维傅里叶变换结果的幅值计算(cv_abs),频谱平移(cv_gray_fft2shift),将数值归一化到0到255区间(cv_range_0to255)是非常常用的四个功能!所以写成四个函数,方便将来调用!附运行截图~并附对应的MATLAB程序!(Dimensional Fourier transform of the grayscale image (cv_gray fft2), two-dimensional Fourier transform results to calculate the amplitude (cv_abs), spectral translation (cv_gray_fft2shift), the value normalized to range 0 to 255 (cv_range_0to255) is very common four function! so written as four function to facilitate future calls! attached run shot- along with the corresponding MATLAB program!)
- 2020-11-30 10:59:29下载
- 积分:1
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Wavelets
小波处理,滤波,复原,融合等VC源代码.(Wavelet processing, filtering, recovery, integration VC source code.)
- 2007-12-19 13:25:52下载
- 积分:1
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LTP_demo-v1
说明: LTP算子提取图像的纹理特征,这种方法对于光照变化十分有效。(LTP operator image texture feature extraction, this method is very effective for the illumination changes.)
- 2008-11-08 15:42:09下载
- 积分:1
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NSCTimagefusion
NSCT轮廓波变换程序,用于图像融合,有图有解释说明(NSCT image fusion)
- 2020-09-02 16:58:08下载
- 积分:1
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spfilt1
首先生成如下形式的图片:图中的白条为7象素宽,210象素高,白条间的宽度为17象素。
应用多种滤波器进行处理:算术均值,几何均值,谐波均值,逆谐波均值,中值滤波,中点滤波,最大值、最小值滤波等。注意,需改变模板大小。详细比较上述的结果,并分析原因。
(First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)
- 2013-12-03 16:17:19下载
- 积分:1