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svt
利用 svt算法解决 Rpca算法的放缩问题，牛刀小试，大家见谅！(Solves the Robust PCA relaxation)
- 2020-06-29 04:00:02下载
- 积分：1
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Neural-Network-pattern-recognition
说明： bp人工神经网络模式识别教程示例，研究人脸识别 手势识别有帮助(bp nervel network trainning and recognition ,e.g:face & dynamic hand gesture detection and face recognition .I hope it would be very useful for researcher !)
- 2009-08-02 10:51:30下载
- 积分：1
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try
Source code to segment skin colour.
- 2012-09-11 18:19:13下载
- 积分：1
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adaboostcode
adaboostcode，这是matlab环境下的adaboost代码，希望对各位有帮助。(adaboostcode, this is the matlab environment AdaBoost code, you want to be helpful.)
- 2020-10-21 10:07:24下载
- 积分：1
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backgroud(12.22)
本人开发的火焰识别程序，包括otsu自适应阈值，canny边缘检测，形态学膨胀、腐蚀操作，尖角判别，圆形度计算。在vc下编译通过。(development of the flame identification procedures, including otsu adaptive threshold, canny edge detection, Morphological expansion, corrosion operation, pointed discriminant, circular calculation. Under the vc compile.)
- 2006-12-22 19:07:30下载
- 积分：1
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sar_sift
说明： SAR SIFT图像配准算法。yishiliuhuasheng/sar_sift(SAR sift image registration algorithm. yishiliuhuasheng/sar_ sift)
- 2020-11-20 09:39:37下载
- 积分：1
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text-segmentation
不均匀光照下的文字分割，综合运用同态滤波方法、Bernsen局部阈值法、边缘识别法。(Uneven illumination of the text segmentation, integrated use of homomorphic filtering methods, Bernsen local threshold, the edge identification method.)
- 2020-11-11 00:29:45下载
- 积分：1
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xcldefogging1
这是一种彩色图像去雾算法，可以识别物体的轮廓，但是同时也会加强这些轮廓，虽然去雾效果不错，但是会加强轮廓！(This is a color image to fog algorithm can identify the contours of the object, but will also enhance the outlines, although to fog effect is good, but will strengthen the profile!)
- 2013-04-17 19:52:56下载
- 积分：1
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jpegyasuo
jpeg压缩代码 An example for jpeg compression and the restoration。(The attached utility is a work I ve submitted to the university. It shows what a jpeg compression is all about.)
- 2013-11-19 11:35:58下载
- 积分：1
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利用SVM或者其他机器学习算法进行分类识别 LBP
（1）计算图像中每个像素点的LBP模式(等价模式,或者旋转不变+等价模式)。
（2）然后计算每个cell的LBP特征值直方图，然后对该直方图进行归一化处理(每个cell中，对于每个bin,h[i]/=sum,sum就是一副图像中所有等价类的个数)。
（3）最后将得到的每个cell的统计直方图进行连接成为一个特征向量，也就是整幅图的LBP纹理特征向量；
然后便可利用SVM或者其他机器学习算法进行分类识别了。((1) calculate the LBP pattern of each pixel in the image (equivalent mode, or rotation invariant + equivalent mode).
(2) then the LBP eigenvalue histogram of each cell is calculated, and then the histogram is normalized (for each cell, for each bin, h[i]/=sum, sum is the number of all the equivalent classes in a pair of images).
(3) finally, the statistical histogram of each cell is connected into a feature vector, that is, the LBP texture feature vector of the whole picture.
Then, SVM or other machine learning algorithms can be used for classification and recognition.)
- 2020-07-01 20:00:02下载
- 积分：1
