Abstract
The Hit or Miss Transform (HMT) is a well known morphological technique which can be used for shape and object recognition in digital image processing. The standard HMT is a particularly powerful tool for locating objects which are noise free in both the background and foreground regions, do not exhibit internal texture and where objects have well defined edges. Often for various reasons, objects of interest do not exhibit such qualities and as a result may not be detected by the standard HMT. This paper proposes a percentage occupancy based Hit or Miss Transform for the detection of objects subject to noisy edges, internal texture, holes
and non homogeneous intensity
and non homogeneous intensity
| Original language | English |
|---|---|
| Pages | 253-257 |
| Number of pages | 5 |
| Publication status | Published - 24 Aug 2009 |
| Event | 17th European Signal Processing Conference - Glasgow, Scotland Duration: 24 Aug 2009 → 28 Aug 2009 |
Conference
| Conference | 17th European Signal Processing Conference |
|---|---|
| City | Glasgow, Scotland |
| Period | 24/08/09 → 28/08/09 |
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Keywords
- hit or miss transform
- HMT
- morphological technique
- digital image processing
Cite this
Murray, P., Marshall, S., & Bullinger, E. (2009). The percentage occupancy hit or miss transform. 253-257. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .