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Nuclei Segmentation on Bright-Field Images
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2010 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Nuclei segmentation is a common and complicated task in image analysis. There is no general solution for the problem, and depending on the image characteristics the segmentation can be performed in different ways. Bright-field images add some complications to the problem; the color of some elements of the image is close to the color of the nuclei, making the segmentation difficult. In this thesis some methods are presented to complete this task, two classifiers, minimum distance classifier and multilayer perceptron are tested to enhance the nuclei. After the classification, threshold methods together with morphological operations are used to get the segmentation of the nuclei with an accuracy around 85%.

Place, publisher, year, edition, pages
2010.
Series
IT ; 10 027
Identifiers
URN: urn:nbn:se:uu:diva-129475OAI: oai:DiVA.org:uu-129475DiVA, id: diva2:343940
Uppsok
Technology
Supervisors
Examiners
Available from: 2010-08-16 Created: 2010-08-16 Last updated: 2010-08-16Bibliographically approved

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