The percentage occupancy hit or miss transform

P. Murray; S. Marshall; E. Bullinger

The percentage occupancy hit or miss transform

P. Murray, S. Marshall, E. Bullinger

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

4 Citations (Scopus)

87 Downloads (Pure)

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

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

Keywords

hit or miss transform
HMT
morphological technique
digital image processing

Access to Document

396738Submitted manuscript, 1.13 MB

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title = "The percentage occupancy hit or miss transform",

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",

keywords = "hit or miss transform , HMT, morphological technique, digital image processing",

author = "P. Murray and S. Marshall and E. Bullinger",

year = "2009",

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language = "English",

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note = "17th European Signal Processing Conference ; Conference date: 24-08-2009 Through 28-08-2009",

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AU - Murray, P.

AU - Marshall, S.

AU - Bullinger, E.

PY - 2009/8/24

Y1 - 2009/8/24

N2 - 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

AB - 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

KW - hit or miss transform

KW - HMT

KW - morphological technique

KW - digital image processing

M3 - Paper

SP - 253

EP - 257

T2 - 17th European Signal Processing Conference

Y2 - 24 August 2009 through 28 August 2009

ER -