读入数字图像到数组，用CNN进行训练，发现关于图像读取的一个问题。
问题描述：读取灰度数字图像，在验证时发现存在错误，从图像到数组中的值不完全一样？
main code as follows：
int dst_width = 12, dst_height = 17;//set the dst size
int vec_Num = dst_width*dst_height;
/*the second parameter must set when read gray image,
//the default value=1 which return a 3-channel color image*/
Mat imgSrc = imread(img_path);
if (imgSrc.empty())
{
cout << "read " << img_path.c_str() << " failed!" << endl;
} Size dstSize = Size(dst_width, dst_height);
Mat imgDst = Mat(dstSize, CV_8UC1);
resize(imgSrc, imgDst, dstSize); vector<float> arr(vec_Num);
int dst_width = 12, dst_height = 17;//set the dst size
int vec_Num = dst_width*dst_height;
/*the second parameter must set when read gray image,
//the default value=1 which return a 3-channel color image*/
Mat imgSrc = imread(img_path, 0);
if (imgSrc.empty())
{
cout << "read " << img_path.c_str() << " failed!" << endl;
} Size dstSize = Size(dst_width, dst_height);
Mat imgDst = Mat(dstSize, CV_8UC1);
resize(imgSrc, imgDst, dstSize); vector<float> arr(vec_Num);
///method 2 memcpy the image data to uchar arr in rows
unsigned char *imgData = new unsigned char[vec_Num];
memcpy(imgData, imgDst.data, imgDst.rows*imgDst.cols*sizeof(unsigned char));
for (int i = 0;i < vec_Num;i++)
{
arr[i] = (float)(imgData[i])/255;
} //test to print
for (int q = 0;q < imgDst.rows;q++)
{
for (int k = 0;k < imgDst.cols;k++)
{
int pos = q*imgDst.cols + k;
cout << setw(3) << (int)arr[pos] << " ";
}
cout << endl;
}
cout << endl; delete[] imgData;
imgSrc.release();
imgDst.release();
the result1 as follows:
左图为读入到数组以后，print出来的 右图为原始图像
差异很明显，同时，错误也很明显。
现在修改代码：
Mat imgSrc = imread(img_path,0);
the result2 as follows:
左图为修改代码后读入到数组，print出来的 右图为原始图像
conclusion：很明显得到的结果是不同的，所以，通过是这次使用imread()函数，告诉我们要注意一些缺省的默认参数是否与自己当前所解决的问题一致。
Appendix:
The OpenCV API reference introduce as follows:
C++: Mat imread(const string& filename, int flags=1 )
Parameters:
filename – Name of file to be loaded.
flags –
Flags specifying the color type of a loaded image:
CV_LOAD_IMAGE_ANYDEPTH - If set, return 16-bit/32-bit image when the input has the corresponding depth, otherwise convert it to 8-bit.
CV_LOAD_IMAGE_COLOR - If set, always convert image to the color one
CV_LOAD_IMAGE_GRAYSCALE - If set, always convert image to the grayscale one
>0 Return a 3-channel color image.
Note In the current implementation the alpha channel, if any, is stripped from the output image. Use negative value if you need the alpha channel.
=0 Return a grayscale image.
<0 Return the loaded image as is (with alpha channel).