Efficient watershed algorithms for image segmentation and related prototype architectures

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dc.contributor.author Rambabu, C
dc.date.accessioned 2020-09-02T11:06:32Z
dc.date.available 2020-09-02T11:06:32Z
dc.date.issued 2004
dc.identifier.other ROLL NO.0994202
dc.identifier.uri http://gyan.iitg.ernet.in/handle/123456789/1667
dc.description Supervisor: Indrajit Chakrabarti en_US
dc.description.abstract Image segmentation is concerned with decomposing a given image into its constituent regions or objects. It is an important preliminary step in diverse fields of application like object recognition, image compression, medical image processing and biological analysis methods. Among the existing segmentation algorithm, watershed transformation is deemed to be a powerful tool for image segmentation owing to the simplicity of its formulation and implementation and its ability to identify the important closed contours of a given image. However, the time complexity of the majority of the watershed transform algorithms is quite high making their real- time application difficult. In particular, real time processes like moving object segmentation, road traffic monitoring and analysis of steel fracture demand fast computation of watershed transformation for image segmentation. At the same time a dedicated hardware architecture for implementing watershed algorithms would give rise to faster results as compared to a software program executed on a general purpose processor. en_US
dc.language.iso en en_US
dc.relation.ispartofseries TH-1866;
dc.title Efficient watershed algorithms for image segmentation and related prototype architectures en_US
dc.type Thesis en_US

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