Multiresolutional watershed segmentation with user-guided grouping

Desok Kim

doi:10.1117/12.310834

24 June 1998 Multiresolutional watershed segmentation with user-guided grouping

Desok Kim

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310834
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

Medical images such as radiographs or micrographs provide valuable information about patient diseases. In spite of recent advances in imaging technologies and molecular probes, diagnosis is still performed by experts using visual interpretation. Quantitation of such visual tasks would render more objective data. For clinical application of image analysis, accurate determination of object boundary is often required and such a task is not trivial due to the complexity of biological objects. This paper presents a multi-resolutional watershed-based segmentation algorithm for expert users to extract object boundary from medical images reproducibly and accurately. Its accuracy is tested in medical images compared to the `marker-driven' gradient modification scheme.

Citation Download Citation

Desok Kim "Multiresolutional watershed segmentation with user-guided grouping", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310834

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