我想将以下代码传输到c ++:
gaussFilter = fspecial('gaussian', 2*neighSize+1, 0.5*neighSize);
pointFeature = imfilter(pointFeature, gaussFilter, 'symmetric');
其中pointFeature
是[height,width,24]数组。
我尝试使用filter2D
,但它只支持2D数组。
所以我想知道opencv中是否有可以过滤多维数组的函数?
答案 0 :(得分:1)
您可以使用可分离的内核过滤器进行任意定义过滤。
答案 1 :(得分:1)
如果您使用的是OpenCV,可以尝试使用3维MatND:
void Smooth3DHist(cv::MatND &hist, const int& kernDimension)
{
assert(hist.dims == 3);
int x_size = hist.size[0];
int y_size = hist.size[1];
int z_size = hist.size[2];
int xy_size = x_size*y_size;
cv::Mat kernal = cv::getGaussianKernel(kernDimension, -1, CV_32F);
// Filter XY dimensions for every Z
for (int z = 0; z < z_size; z++)
{
float *ind = (float*)hist.data + z * xy_size; // sub-matrix pointer
cv::Mat subMatrix(2, hist.size, CV_32F, ind);
cv::sepFilter2D(subMatrix, subMatrix, CV_32F, kernal.t(), kernal, Point(-1,-1), 0.0, cv::BORDER_REPLICATE);
}
// Filter Z dimension
float* kernGauss = (float *)kernal.data;
unsigned kernSize = kernal.total();
int kernMargin = (kernSize - 1)/2;
float* lineBuffer = new float[z_size + 2*kernMargin];
for (int y = 0; y < y_size; y++)
{
for (int x = 0; x < x_size; x++)
{
// Copy along Z dimension into a line buffer
float* z_ptr = (float*)hist.data + y * x_size + x;//same as hist.ptr<float>(0, y, x)
for (int z = 0; z < z_size; z++, z_ptr += xy_size)
{
lineBuffer[z + kernMargin] = *z_ptr;
}
// Replicate borders
for (int m = 0; m < kernMargin; m++)
{
lineBuffer[m] = lineBuffer[kernMargin];// replicate left side
lineBuffer[z_size + 2*kernMargin - 1 - m] = lineBuffer[kernMargin + z_size - 1];//replicate right side
}
// Filter line buffer 1D - convolution
z_ptr = (float*)hist.data + y * x_size + x;
for (int z = 0; z < z_size; z++, z_ptr += xy_size)
{
*z_ptr = 0.0f;
for (unsigned k = 0; k < kernSize; k++)
{
*z_ptr += lineBuffer[z+k]*kernGauss[k];
}
}
}
}
delete [] lineBuffer;
}