# Help me understand this.

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Andrew Killian 2021 年 9 月 11 日

For every white pixel in original image:
– Make all neighbors white in result.
• What is a neighbor?
– Specified as an extra parameter.
% 4-connected neighbors
neighborhood = [0,1,0; 1,1,1; 0,1,0])
imdilate(person, neighborhood)
--- --- ---
For a binary image a 0 is a white pixel and a 1 is black correct?
So the nieghbordhood is like:
0 1 0
1 1 1
0 1 0
But if one is in the middle isn't this for black pixels?
The idea is that it is looking at every single pixel from left to right & top to bottom right?
How exactly is it determining which black pixels to make white?
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Walter Roberson 2021 年 9 月 11 日
For a binary image a 0 is a white pixel and a 1 is black correct?
No, 0 is black and 1 is white.

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### 回答 (1 件)

Walter Roberson 2021 年 9 月 11 日
How exactly is it determining which black pixels to make white?
The binary dilation of A by B, denoted A B, is defined as the set operation:
where ˆB is the reflection of the structuring element B. In other words, it is the set of pixel locations z, where the reflected structuring element overlaps with foreground pixels in A when translated to z.

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