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HOG
读取一24位彩色图像,计算其以下图像特征:
1)灰度直方图
2)颜色直方图(RGB3个通道)
3)方向梯度直方图(HOG,将图像分成4*4 16个块,8个梯度方向)
(Read a 24-bit color images, calculate the following image features: 1) Histogram 2) color histogram (RGB3 channels) 3) histogram of oriented gradients (HOG, the image is divided into 4* 4 16 blocks, 8 gradient directions))
- 2020-06-28 15:00:01下载
- 积分:1
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ImgToRaw
说明: 遥感图像.img图像与raw格式图像的之间的转换(remote sensing images. Img images with the raw image format conversion between the)
- 2006-01-01 01:35:04下载
- 积分:1
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xx
说明: 用MFC实现将位图进行直方图均衡化处理的源码(MFC to achieve the bitmap with the histogram equalization processing of the source)
- 2011-05-20 20:34:55下载
- 积分:1
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PALMovie
PAL制视频消隔行deinterlace的代码,共参考(PAL video system extinction deinterlace interlaced code, a total of reference)
- 2020-08-05 13:58:32下载
- 积分:1
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gmm
高斯混合模型的源代码。从文件中读取数据,用三个高斯混合模型进行处理(Gaussian mixture model of the source code. Read from the file data, using three Gaussian mixture model for processing)
- 2013-10-27 19:58:34下载
- 积分:1
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katsevich
螺旋轨迹重建的一种实现方法,是解析算法的典型案例(An implementation method of spiral trajectory reconstruction is an analytical algorithm)
- 2021-04-20 17:28:50下载
- 积分:1
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统计独立算法求图像的信息熵
一幅大小为256×256的256级灰度图像(每像素8bit)
如果图像的各个像素之间是统计独立的,求该图像的信息熵
-离散无记忆信源
如果图像的各个像素之间不是统计独立的,求该图像的信息熵
-图像像素的概率分布模型(A 256 gray scale image (8bit per pixel) with a size of 256 x 256
If each pixel of the image is statistically independent, the information entropy of the image is calculated
Discrete memoryless source
If each pixel of the image is not statistically independent, the information entropy of the image is calculated
Probability distribution model of image pixels)
- 2017-11-24 21:49:34下载
- 积分:1
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FaceRecognition1
基于AdaBoost的人脸检测程序代码(是用c++编写的)(AdaBoost-based face detection program code (written with c++))
- 2013-06-24 15:22:08下载
- 积分:1
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opticalflowMATLAB
LK 和HS光流代码,初学者可用,带有误差分析(LK optical flow and the HS code is available for beginners, error analysis with)
- 2015-11-28 10:35:21下载
- 积分:1
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SURF
基于SUFT的特征提取与匹配,内涵详细的文档说明,很好的实现了特征提取与匹配,该方法较基本的SIFT有很大的提高(Extraction and matching of features based on SUFT, detailed content of the documentation, very good realization of the feature extraction and matching, SIFT the method is basic is greatly improved)
- 2013-10-04 11:10:04下载
- 积分:1