machinevisiontoolbox.Image.hitormiss
- Image.hitormiss(s1, s2=None, border='replicate', bordervalue=0, **kwargs)
Hit or miss transform
- Parameters:
s1 (ndarray(N,M)) – structuring element 1
s2 (ndarray(N,M)) – structuring element 2
kwargs – arguments passed to
opencv.morphologyEx
- Returns:
transformed image
- Return type:
Image
Return the hit-or-miss transform of the binary image which is defined by two structuring elements structuring elements
\[Y = (X \ominus S_1) \cap (X \ominus S_2)\]which is the logical-and of the binary image and its complement, eroded by two different structuring elements. This preserves pixels where ones in the window are consistent with \(S_1\) and zeros in the window are consistent with \(S_2\).
- If only
s1is provided it has three possible values: 1, must match a non-zero value
-1, must match a zero value
0, don’t care, matches any value.
Example:
- Note:
For the single argument case
s1\(=S_1 - S_2\).- References:
Robotics, Vision & Control for Python, Section 11.6.3, P. Corke, Springer 2023.
- Seealso: