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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Tn. Muda, Tn. Zalizam, A Salam, Rosalina
التنسيق: Book Section
اللغة:English
منشور في: IEEE Computer Society 2010
الموضوعات:
الوصول للمادة أونلاين: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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الوصف
الملخص: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.