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poPptd
物理光学法+物理绕射计算远场RCS的程序代码,c++程序(Physical optics+ physicaldiffraction computing far-field RCS program code, c++ program)
- 2020-08-26 11:28:13下载
- 积分:1
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Image-binarization
说明: 图片自适应二值化处理,二值化处理使用简单方便。(Adaptive binarization image processing, binary processing easy to use.)
- 2011-03-01 01:16:18下载
- 积分:1
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CvThrehold
基于opencv实时图像的2值化处理,一定要有摄像头(Opencv-based real-time image processing of two values, there must be a camera)
- 2013-11-29 20:29:33下载
- 积分:1
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SingleCalibrate
基于opencv的相机单目标定程序,很好的学习资源,做图像矫正的可以看看~(Opencv based on a single target of the camera program)
- 2015-05-06 13:53:42下载
- 积分:1
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feature-extract
几个大牛对集成了国内外特征提取最前沿的算法,特征提取,DOG,HARRIS,HARRIS-LAPLACE,HARRIS-AFFINE,MSER.描述符,SIFT,AFFINE-SIFT,GLOH.经测试,速度快,描述符准确。(Integration of feature extraction algorithms from several expert of domestic and international, feature extraction: DOG, HARRIS, HARRIS-LAPLACE, HARRIS-AFFINE, MSER; Descriptors: SIFT, AFFINE-SIFT, GLOH. The test reveal the speed and accurate descriptor.)
- 2010-05-10 17:23:44下载
- 积分:1
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Fisheye_calibration
windows下c++鱼眼校正,debug内exe可直接运行看结果。内附参考文献,更详细文献可见论文《超大广角畸变图像的校正和展开》。(C++ fisheye correction under windows, debug within exe can run directly to see the results. With reference to the literature, more detailed literature can be seen in the paper "super wide-angle distortion image correction and expansion".)
- 2017-11-13 16:35:41下载
- 积分:1
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demons
demons三维非刚性图像配准,速度很快,基于ITK(demons of 3D non-rigid image registration, very fast, based on ITK)
- 2012-08-18 19:51:17下载
- 积分:1
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KMeansBMPSeg
模式识别经典方法之一 K均值算法(KMeans)进行图像分割 有完善的图形界面 可以通过柱状图的形式动态展示聚类程序(One of the classical method of pattern recognition K means algorithm (KMeans) for image segmentation has improved graphical interface can be dynamically displayed in the form of histogram clustering procedure)
- 2010-05-22 13:33:13下载
- 积分:1
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CVPR2011Paper
CVPR2011文章Efficient_Rotation_Invariant_Object_Detection_using_Boosted_Random_Ferns(paper of CVPR2011 Efficient_Rotation_Invariant_Object_Detection_using_Boosted_Random_Ferns)
- 2012-02-21 09:55:26下载
- 积分:1
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NumberRecognize
根据RBM深度网络(Hinton,2006)进行MINST手写文字的分类器的训练,利用训练得到的权值制作了这个小程序,通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别,但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)
- 2013-10-17 15:55:34下载
- 积分:1