代码搜索：图像重建

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www.eeworm.com/read/404806/11477840

m hemitter.m

%____模极大值法去噪： %二进制小波变换（离散平稳小波变换）并找到模极大序列,对极大值序列处理后重建信号; %参数c, O_d4, O_d3可以调节。 close all; clc; clear; %snr=2; %init=2055615866; %[xref,x]=wnoise(2,10,snr,init); %signal=x; s1=load ('D:\Progra
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www.eeworm.com/read/188543/8529514

m 12-11.m

I = imread('ic.tif'); I2 = imcrop(I,[60 40 100 90]); %指定的矩形区域[60 40 100 90]对图像I进行剪切 imshow(I) figure, imshow(I2)
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www.eeworm.com/read/432184/8621451

h watershed.h

#ifndef __WATERSHED_H__ #define __WATERSHED_H__ #include "ImageCenterDib.h" //水域变换类 class Watershed:public ImgCenterDib { public: int m_nBitCountOut;//输出图像每像素位数 unsigned char * m_pImg
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www.eeworm.com/read/432184/8621641

h graytrans.h

#ifndef _INSIDE_VISUAL_CPP_GRAYTRANS #define _INSIDE_VISUAL_CPP_GRAYTRANS #include "ImageCenterDib.h" //灰度变换类 class GrayTrans:public ImgCenterDib { public: //输出图像每像素位数 int m_nBitCountOut;
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www.eeworm.com/read/378041/9253198

m 12-11.m

I = imread('ic.tif'); I2 = imcrop(I,[60 40 100 90]); %指定的矩形区域[60 40 100 90]对图像I进行剪切 imshow(I) figure, imshow(I2)
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www.eeworm.com/read/178717/9387230

java histogramretriever.java

import java.awt.image.*; //直方图修正 public class HistogramRetriever extends PointProcessor { //灰度出现的频数统计表,相当于灰度直方图 int FrequenceGray[]; //是否是灰色图像 boolean isGrayImage = true; public
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www.eeworm.com/read/175157/9557375

c 矩特征.c

////////////////////////////////////////////////////////////////////////// //得到Moment特征 //lpDIBBits是经过二值化处理以后的图像指针 //lWidth不必是4的倍数 //pFeature是长度为8的实数数组 BOOL WINAPI GetMomentFeatures (LPSTR lpDIBB
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www.eeworm.com/read/359506/10141021

htm 21.3.htm

图像效果 //more javascript from http://www.smallrain.net function c
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www.eeworm.com/read/357171/10214181

m 12-11.m

I = imread('ic.tif'); I2 = imcrop(I,[60 40 100 90]); %指定的矩形区域[60 40 100 90]对图像I进行剪切 imshow(I) figure, imshow(I2)
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www.eeworm.com/read/279904/10379208

h img.h

// Img.h //该头文件定义图像处理宏: #ifndef __img_h_ #ifndef __IMG_H__ #define __img_h_ #define __IMG_H__ #ifdef __cplusplus extern "C" { #endif #define PIE 3.14159265358979323846 #
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