这是一段代码:
#include<stdio.h>
#include<math.h>
float conv2D(int rowsKernel, int colsKernel, int rowsImage, int colsImage, float kernel[][5], int image[][15], float imageConvolved[][11]); //Function Prototype definition
float conv2D(int rowsKernel, int colsKernel, int rowsImage, int colsImage, float kernel[][5], int image[][15], float imageConvolved[][11])
{
int kernelSize; //This variable represents the size of the Gaussian kernel
int i; //variable which controls the rows of an image
int j; //variable which controls the columns of an image
int ii; //variable which controls the rows of the kernel
int jj; //variable which controls the columns of the kernel
float sum; //variable that holds the result of convolution for a particular pixel of an image
//float imageConvolved;//Result of an image convolved by a Gaussian kernel
int imagePixel;
float kernelPixel;
kernelSize = colsKernel; /*Since we consider a square kernel, then rowsKernel=colsKernel, which implies that the size of the kernel (kernelSize) equals either of these two variables (that is, kernelSize=colsKernel=rowsKernel) */
for (i = kernelSize / 2; i < rowsImage - kernelSize / 2; i++) // perform iteration through the rows of an image
{
for (j = kernelSize / 2; j < colsImage - kernelSize / 2; j++) // perform iteration through the columns of an image
{
sum = 0; /*Initializing the accumulator. This variable will finally contain the convolution result for a particular pixel */
for (ii = -kernelSize / 2; ii <= kernelSize / 2; ii++) // perform iteration through the rows of a kernel
{
for (jj = -kernelSize / 2; jj <= kernelSize / 2; jj++) //perform iteration through the columns of a kernel
{
imagePixel = image[i + ii][j + jj];
kernelPixel = kernel[ii + kernelSize / 2][jj + kernelSize / 2];
sum += imagePixel * kernelPixel;
}
}
imageConvolved[i - kernelSize / 2][j - kernelSize / 2] = sum;
}
}
return (imageConvolved); // convolved image
}
int main()
{
float gauss[][5] = {
{1, 1, 1, 1, 1},
{1, 1, 1, 1, 1},
{1, 1, 1, 1, 1},
{1, 1, 1, 1, 1},
{1, 1, 1, 1, 1}
};
int img[][15] = {
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1}
};
int rowsK = 5, colsK = 5, rowsI = 15, colsI = 15;
float result[11][11];
float Iconv[11][11];
Iconv = conv2D(rowsK, colsK, rowsI, colsI, gauss, img, result);
return 0;
}
我修改了代码,试图解决问题。但是,我收到两个错误(使用CCStudio V3.3):
“convolution.c”,第39行:错误:返回值类型不匹配 函数类型“convolution.c”,第71行:错误:表达式必须是a 可修改的左值
答案 0 :(得分:0)
您正在从根据其声明返回imageConvolved
的函数返回似乎是二维数组(float
)的内容。我不知道你从函数返回的意思,但似乎错误就在这一行:
return(imageConvolved);
答案 1 :(得分:0)
函数conv2D
的原型是浮点数。但是,在定义中,您返回了imageConvolved
。 imageConvolved
是ormal parameter
中的数组,您无需返回它,因此您将返回float
类型的内容。