使用C++代码完成 均值滤波器、中值滤波器、最大值滤波器、最小值滤波器分别对灰度图进行滤波

使用C++代码完成 均值滤波器、中值滤波器、最大值滤波器、最小值滤波器分别对灰度图进行滤波,第1张

//中值滤波和均值大概这个样子

int nByteWidth=nWidth*3

if (nByteWidth%4) nByteWidth+=4-(nByteWidth%4)

BYTE p[9],s

int i,j

for(y=1y<nHeight-1y++)

{

for(x=3x<nWidth*3-3x++)

{

//把一个像素周围的8个像素值分别赋值给p[0]到p[8]

p[0]=lpInput[x-3+(y-1)*nByteWidth]

p[1]=lpInput[x+(y-1)*nByteWidth]

p[2]=lpInput[x+3+(y-1)*nByteWidth]

p[3]=lpInput[x-3+y*nByteWidth]

p[4]=lpInput[x+y*nByteWidth]

p[5]=lpInput[x+3+y*nByteWidth]

p[6]=lpInput[x-3+(y+1)*nByteWidth]

p[7]=lpInput[x+(y+1)*nByteWidth]

p[8]=lpInput[x+3+(y+1)*nByteWidth]

//将p[0]到p[8]从小到大排列

for(j=0j<5j++)

{

for(i=j+1i<9i++)

{

if (p[j]>p[i])

{

s=p[j]

p[j]=p[i]

p[i]=s

}

}

}

//将友隐各点的中值赋值给该像素

lpOutput[x+y*nByteWidth]=p[4]

}

//----------------------------------------

int sr,sg,sb

int nByteWidth=nWidth*3

if (nByteWidth%4) nByteWidth+=4-(nByteWidth%4)

for(y=1y<nHeight-1y++)

{

for(x=1x<nWidth-1x++)

{

p=x*3+y*nByteWidth

sb=0

sg=0

sr=0

for(y1=-1y1<=1y1++)

for(x1=-1x1<=1x1++)

{

//像素本身及其周围好宴厅的八个像素(3X3窗口内的像素)的blue值之和

sb+=lpInput[(y+y1)*nByteWidth+(x+x1)*3]

//像素本身及其周围的八个像素(3X3窗口内的像素)的green值之和

sg+=lpInput[(y+y1)*nByteWidth+(x+x1)*3+1]

//像素本身及其周围的八个像素(3X3窗口内的像素)的red值之和

sr+=lpInput[(y+y1)*nByteWidth+(x+x1)*3+2]

}

//将red,green,blue值的平均值赋值给该像素祥雹

lpOutput[p+2]=sr/9

lpOutput[p+1]=sg/9

lpOutput[p]=sb/9

}

}

这个可比你想象晌大的复杂多了,s是个复变量,1/(s+1)极点在-1,要想用C语言写,必须理解清楚下面几个问题:

1、输入必须是个有限序列,比如(x+yi),x和y分别是两个长度为N的数组

2、要过滤的频率,必须是个整型值,或者是个整型区间

3、输出大前结果同样是两个长度为N的数组(p+qi)

4、整个程宴仿竖序需要使用最基本的复数运算,这一点C语言本身不提供,必须手工写复函数运算库

5、实现的时候具体算法还需要编,这里才是你问题的核心。

我可以送你一段FFT的程序,自己琢磨吧,和MATLAB的概念差别很大:

#include <assert.h>

#include <math.h>

#include <stdio.h>

#include <stdlib.h>

#include <string.h>

#include <windows.h>

#include "complex.h"

extern "C" {

// Discrete Fourier Transform (Basic Version, Without Any Enhancement)

// return - Without Special Meaning, constantly, zero

int DFT (long count, CComplex * input, CComplex * output)

{

assert(count)

assert(input)

assert(output)

CComplex F, X, T, Wint n, i

long N = abs(count)long Inversing = count <0? 1: -1

for(n = 0n <N n++){ // compute from line 0 to N-1

F = CComplex(0.0f, 0.0f)// clear a line

for(i = 0i <Ni++) {

T = input[i]

W = HarmonicPI2(Inversing * n * i, N)

X = T * W

F += X// fininshing a line

}//next i

// save data to outpus

memcpy(output + n, &F, sizeof(F))

}//next n

return 0

}//end DFT

int fft (long count, CComplex * input, CComplex * output)

{

assert(count)

assert(input)

assert(output)

int N = abs(count)long Inversing = count <0? -1: 1

if (N % 2 || N <5) return DFT(count, input, output)

long N2 = N / 2

CComplex * iEven = new CComplex[N2]memset(iEven, 0, sizeof(CComplex) * N2)

CComplex * oEven = new CComplex[N2]memset(oEven, 0, sizeof(CComplex) * N2)

CComplex * iOdd = new CComplex[N2]memset(iOdd , 0, sizeof(CComplex) * N2)

CComplex * oOdd = new CComplex[N2]memset(oOdd , 0, sizeof(CComplex) * N2)

int i = 0CComplex W

for(i = 0i <N2i++) {

iEven[i] = input[i * 2]

iOdd [i] = input[i * 2 + 1]

}//next i

fft(N2 * Inversing, iEven, oEven)

fft(N2 * Inversing, iOdd, oOdd )

for(i = 0i <N2i++) {

W = HarmonicPI2(Inversing * (- i), N)

output[i] = oEven[i] + W * oOdd[i]

output[i + N2] = oEven[i] - W * oOdd[i]

}//next i

return 0

}//end FFT

void __stdcall FFT(

long N, // Serial Length, N >0 for DFT, N <0 for iDFT - inversed Discrete Fourier Transform

double * inputReal, double * inputImaginary, // inputs

double * AmplitudeFrequences, double * PhaseFrequences) // outputs

{

if (N == 0) return

if (!inputReal &&!inputImaginary) return

short n = abs(N)

CComplex * input = new CComplex[n]memset(input, 0, sizeof(CComplex) * n)

CComplex * output= new CComplex[n]memset(output,0, sizeof(CComplex) * n)

double rl = 0.0f, im = 0.0fint i = 0

for (i = 0i <ni++) {

rl = 0.0fim = 0.0f

if (inputReal) rl = inputReal[i]

if (inputImaginary) im = inputImaginary[i]

input[i] = CComplex(rl, im)

}//next i

int f = fft(N, input, output)

double factor = n

//factor = sqrt(factor)

if (N >0)

factor = 1.0f

else

factor = 1.0f / factor

//end if

for (i = 0i <ni++) {

if (AmplitudeFrequences) AmplitudeFrequences[i] = output[i].getReal() * factor

if (PhaseFrequences) PhaseFrequences[i] = output[i].getImaginary() * factor

}//next i

delete [] output

delete [] input

return

}//end FFT

int __cdecl main(int argc, char * argv[])

{

fprintf(stderr, "%s usage:\n", argv[0])

fprintf(stderr, "Public Declare Sub FFT Lib \"wfft.exe\" \

(ByVal N As Long, ByRef inputReal As Double, ByRef inputImaginary As Double, \

ByRef freqAmplitude As Double, ByRef freqPhase As Double)")

return 0

}//end main

}//end extern "C"


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