ELLIPSE-BASED TEMPLATE MATCHING FOR CELL IDENTIFICATION IN FLUORESCENCE MICROSCOPE IMAGES
Automatic Cell detection in fluorescence microscopy (FM) images is an essential operation in automated cell analysis for diagnosis and treatment of oral cancer which includes the study of cell shapes. This should enable biologists to detect and count all the cells automatically in fluorescence image...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/21987/1/2017%20-%20ELECTRICAL%20%26%20ELECTRONIC%20-%20ELLIPSE-BASED%20TEMPLATE%20MATCHING%20FOR%20CELL%20IDENTIFICATION%20IN%20FLUORESCENCE%20MICROSCOPE%20IMAGES%20-%20ABED%20ALRAHMAN%20MKAYES.pdf http://utpedia.utp.edu.my/21987/ |
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| Summary: | Automatic Cell detection in fluorescence microscopy (FM) images is an essential operation in automated cell analysis for diagnosis and treatment of oral cancer which includes the study of cell shapes. This should enable biologists to detect and count all the cells automatically in fluorescence images which provide high reliability and assist
the clinician's work. In this work, a cell detection method in fluorescence microscope
images in green channel obtained from Cancer Research Malaysia is proposed. This
method is divided into two main stages, image enhancement, and cell detection. The
aim of image enhancement is to remove noise and enhance cells boundary prior to cell
detection operation. |
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