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VZ_HELP
说明: 全数字摄影测量系统 VirtuoZo 具有以下特点:
- 2011-03-26 12:41:11下载
- 积分:1
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imageprocess
这是本智能图像处理的书教你如何读取BMP图像二值化中值滤波还有灰度变换图像匹配,检索(This is the intelligent image processing book teaches you how to read the BMP image binarization there are gray-scale transformation in the value of the filter image matching, retrieval)
- 2011-05-23 21:23:19下载
- 积分:1
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Kmeans
说明: 基于Kmeans算法的图像分割,一般Kmeans是数据挖掘中用来聚类的,本试验利用图像中的灰度值作为Kmeans算法的原始点,进行图像分割(Kmeans algorithm based on image segmentation, data mining in general Kmeans is used to clustering, the trial use of the image gray value as the original algorithm Kmeans spots for Image Segmentation)
- 2021-04-06 16:49:03下载
- 积分:1
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PCNN(lateralinhibition)
基于侧抑制的图像分割,在PCNN分割的基础上实现(failed to translate)
- 2021-03-24 20:39:14下载
- 积分:1
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CODE
说明: 数字图像处理的常用算法总结,比如,直方图,直方图均衡化,均值滤波,中值滤波,平滑滤波等。(Commonly used digital image processing algorithms summarized, for example, histogram, histogram equalization, mean filtering, median filtering, filtering and so on.)
- 2011-04-14 21:53:09下载
- 积分:1
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ppbNakagami
处理Gamma乘性噪声的PPB方法,考虑了非局部patch的相似性,可处理SAR图像去噪。(The PPB method for multicative noise removal, which based on the Probabilistic Patch similarity.)
- 2021-04-12 18:18:57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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charrecognition
《VC++数字图像识别技术典型案例》第九章光学字符识别技术,包括预处理、边缘跟踪和特征提取算法("VC Digital Image Recognition Technology typical case," the ninth chapter of optical character recognition technologies, including pretreatment, Edge tracking and feature extraction algorithm)
- 2007-05-28 20:52:03下载
- 积分:1
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Motion-system-identification
《精通Visual C++数字图像处理技术与工程案例》中第10章运动系统识别
(Motion system identification
)
- 2012-08-29 20:46:43下载
- 积分:1
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chenggongchengxu
rgb to HSV,很有用,调试成功,可以应用(rgb to HSV,#include "stdafx.h"
#include <iostream.h>
void main(float R, float G, float B, float& H, float& S, float&V)
{
// r,g,b values are from 0 to 1
// h = [0,360], s = [0,1], v = [0,1]
// if s == 0, then h =-1 (undefined)
float min, max, delta,tmp
tmp = R>G?G:R
min = tmp>B?B:tmp
tmp = R>G?R:G
max = tmp>B?tmp:B
V = max // v
delta = max- min
if( max != 0 )
S = delta/max // s
else
{
// r = g = b = 0 // s = 0, v is undefined
S = 0
H = 0
return
}
if (delta == 0){
H = 0
return
}
else if(R == max){
if (G >= B)
H = (G- B)/delta // between yellow & magenta
else
H = (G- B)/delta+ 6
}
else if( G == max )
H = 2+ ( B- R )/delta // between cyan & yellow
else if (B == ma)
- 2011-12-02 10:09:24下载
- 积分:1