The percentage occupancy hit or miss transform

P. Murray, S. Marshall, E. Bullinger

Research output: Contribution to conferencePaper

4 Citations (Scopus)
91 Downloads (Pure)


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
Original languageEnglish
Number of pages5
Publication statusPublished - 24 Aug 2009
Event17th European Signal Processing Conference - Glasgow, Scotland
Duration: 24 Aug 200928 Aug 2009


Conference17th European Signal Processing Conference
CityGlasgow, Scotland


  • hit or miss transform
  • HMT
  • morphological technique
  • digital image processing


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