Malaria parasites segmentation in red blood cells images using mean-shift and median-cut
This paper describes a better approach on merging segmentation algorithms of Mean-shift and Median-cut for color blood cells images. The proposed method applies in two major components of both algorithms. Before starting the analysis, image pre-processing procedure was applied to improve the ima...
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| Main Authors: | , |
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| Format: | Book Section |
| Language: | English |
| Published: |
IEEE Computer Society
2010
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/2771/1/Tn._Zalizam_Tn_Muda_%26_Rosalina_A_Salam..pdf http://repo.uum.edu.my/2771/ |
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| Summary: | This paper describes a better approach on merging segmentation algorithms of Mean-shift and Median-cut for
color blood cells images. The proposed method applies in two
major components of both algorithms. Before starting the
analysis, image pre-processing procedure was applied to
improve the image before altering the RGB colour space to
LUV colour space. After that Mean-shift segmentation will
initiate the next process. Since the Means-shift algorithm
carry out low level segmentation, some of the region has no
semantic meaning. To combat this predicament, median-cut
algorithm was introduced to unite the gap left by the meansshift. The results showed better improvement in terms of the contour extraction for further processing. |
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