int main()  
{  
 
	Mat img=imread("lena.jpg");  
	cv::cvtColor(img,img,CV_BGR2GRAY);
	int imageWidth = img.cols;
	int imageHeight = img.rows;

	showImage("src",img);
	
	uchar * imageBuffer = (uchar *) malloc(imageHeight * imageWidth);
	memset(imageBuffer,0,imageHeight * imageWidth);
	if (img.depth() == 3)
	{
	}
	else
	{
		for (int i = 0; i< imageHeight; i++)
		{
			for (int j = 0; j < imageWidth;j++)
			{
				imageBuffer[i*imageWidth + j] =  img.at(i,j);
			}
		}

		dilateTest(imageBuffer,imageBuffer,imageWidth,imageHeight);
		for (int i = 0; i< imageHeight; i++)
		{
			for (int j = 0; j < imageWidth;j++)
			{
				img.at(i,j) = imageBuffer[i*imageWidth + j];
			}
		}

	}
	
	Mat copyImage;// = img.clone();
	
	//與opencv dilate 比較

	//int dilation_type =0;
	//int
	//if( dilation_elem == 0 ){ dilation_type = MORPH_RECT; }
	//else if( dilation_elem == 1 ){ dilation_type = MORPH_CROSS; }
	//else if( dilation_elem == 2) { dilation_type = MORPH_ELLIPSE; }

	//Mat element = getStructuringElement( 0,
	//	Size( 2*0 + 1, 2*0+1 ),
	//	Point( 0, 0 ) );
	/////膨脹操作
	//dilate( img, copyImage, element );
	//showImage("copyImage",copyImage);
showImage("testcv",img);

	waitKey(100000);  
}  

void dilateTest(uchar *imageBuffer,uchar *outBuffer,int imageWidth,int imageHeight)
{
	uchar *dilateBuffer = (uchar *)malloc((imageWidth+1)*(1+imageHeight));
	memset(dilateBuffer,0,(imageHeight+1)*(imageWidth+1));

	for (int i = 0;i < imageHeight;i++)
	{
		for (int j = 0 ; j < imageWidth; j++)
		{
			dilateBuffer[i*(imageWidth+1)+j+1] = imageBuffer[i*imageWidth + j];
		}
	}

	uchar *srcImage = dilateBuffer;

	for (int i = 0;i < imageWidth; i++)
	{
		for (int j = 0;j < imageHeight;j++)
		{
			uchar tempNum = 0;

			srcImage = (dilateBuffer + (i*(imageWidth +1)+j));
			for (int m = 0;m<3;m++)
			{
				for (int n = 0; n < 3;n++)
				{
					if (tempNum < srcImage[n])
					{
						tempNum = srcImage[n];
					}
				}
				srcImage = (srcImage + m*(imageWidth +1));
			}

			outBuffer[i*imageWidth +j] = tempNum;
		}
	}
}