Sabah Mohammed
Department of Computer Science, Lakehead University,
955 Oliver Road, Thunder Bay, Ontario P7B 5E1, Canada
Jinan Fiaidhi
Department of Computer Science, Lakehead University,
955 Oliver Road, Thunder Bay, Ontario P7B 5E1, Canada
Lei Yang
Department of Computer Science, Lakehead University,
955 Oliver Road, Thunder Bay, Ontario P7B 5E1, Canada
ABSTRACT
The aim of this study is to detect masses in mammograms through pipelining sequences of visualization operators. Such sequences act as morphological filtering operators for identifying objects of interest. This is done using series of rendering operators including edge detection, smoothing, filling small holes, coloring various densities, joining broken boundaries and eliminating small projections.
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How to cite this article
Sabah Mohammed, Jinan Fiaidhi and Lei Yang, 2003. Morphological Analysis of Mammograms Using Visualization Pipelines. Information Technology Journal, 2: 178-190.
DOI: 10.3923/itj.2003.178.190
URL: https://scialert.net/abstract/?doi=itj.2003.178.190
DOI: 10.3923/itj.2003.178.190
URL: https://scialert.net/abstract/?doi=itj.2003.178.190
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