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Question about the post processing.
Hi, TextField is a great work, but I'm confused about the post processing:
We apply a simple dilation δ (with 3 × 3 structuring element) to group the representatives of the same text instance. This is followed by a connected component labeling that forms candidate text instances. The text superpixel grouping is depicted in line 17- 21 of Algorithm 1.
and I found these in your post processing code:
for (int row = 0; row < rows_; row++)
{
float* ending_p = ending.ptr<float>(row);
float* parent_p = parent.ptr<float>(row);
float* dict_p = dict.ptr<float>(row);
for (int col = 0; col < cols_; col++)
{
if (ending_p[col] == 1)
{
for (int dilDepth = 1; dilDepth <= min((int)(1*dict_p[2*col+1]-16), 12); dilDepth++) //
{
p.x = row+(int)parent_p[2*col]*dilDepth;
p.y = col+(int)parent_p[2*col+1]*dilDepth;
if (p.x >= 0 && p.x <= rows_-1 && pt.y >= 0 && pt.y <= cols_-1)
{
float* merged_ending_p = merged_ending.ptr<float>(p.x);
merged_ending_p[p.y] = 1;
}
}
}
}
}
I understand that the dilate element kernel_size = 3x3 is for grouping the representatives of text instance, and the above code is for grouping the rest children pixels belonging to this instance, but I don't understand this: for (int dilDepth = 1; dilDepth <= min((int)(1*dict_p[2*col+1]-16), 12); dilDepth++)
, and dilDepth
stands for the deepest depth, but the magic numbers 16
and 12
represent for what meaning?
Thanks in advance for your reply!
Sorry for replying late.
These lines are added for robustness since the representatives may not quite close to each other for some large text instances. Here, dict_p
also stores the depth (the number of child nodes) of each representative. I use another dilation-like operation only in its direction and dilDepth
limits the dilation depth. For the two hyper-parameters 16
and 12
, they are coarsely chosen actually. I am sorry for these missing details in our paper.