Region and active contour-based segmentation technique for medical and weak-edged images
One of the key requirement in image guided surgery (IGS)/ computer aided surgery (CAS) planning is accurate segmentation of the images concerned. It is also a challenging issue for the purpose of image analysis and understanding in general, and surgical intervention involving image guided surgery...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for Science and technology
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/42847/ http://irep.iium.edu.my/42847/ http://irep.iium.edu.my/42847/1/Region_and_Active_Contour-Based.pdf |
| Summary: | One of the key requirement in image guided surgery (IGS)/ computer aided surgery
(CAS) planning is accurate segmentation of the images concerned. It is also a
challenging issue for the purpose of image analysis and understanding in general, and
surgical intervention involving image guided surgery (IGS) in particular. Thus, in this
paper, a technique employing two-stage segmentation in which one of the stage is also an
hybrid of two segmentation methods is developed for medical images in particular, and
weak-edged images in general. The first stage employs hybrid of multiple-thresholding
and correlation matching. The output image of the first stage was use as the input image
to the second stage to generate the final output using the modified Chan-Vese level-set
algorithm (MLSA). The results obtained is accurate as showed in figures 2, 3, and 4. |
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