The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 53-842
Full Name: Intan Aidha Yusoff
Position: Student
Age: ON
Sex: Female
Address: School of Electrical & Electronic Engineering, Engineering Campus Universiti Sains Malaysia, 14300 Nibong Tebal, Penang.
Country: MALAYSIA
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Tel prefix:
Fax: +604-5941023
E-mail address: intan_aidha@yahoo.com
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Title of the Paper: Two-Dimensional Clustering Algorithms for Image Segmentation
Authors as they appear in the Paper: Intan Aidha Yusoff, Nor Ashidi Mat Isa
Email addresses of all the authors: intan_aidha@yahoo.com,ashidi@eng.usm.my
Number of paper pages: 11
Abstract: This paper introduces modified versions of the K-Means (KM) and Moving K-Means (MKM) clustering algorithms, called the Two-Dimensional K-Means (2D-KM) and Two-Dimensional Moving K-Means (2D-MKM) algorithms respectively. The performances of these two proposed algorithms are compared with three of the commonly used conventional clustering algorithms, namely K-Means (KM), Fuzzy C-Means (FCM), and Moving K-Means (MKM). The new algorithms incorporate the median value of considered pixel intensity with its neighboring pixel; together with the pixel's own intensity for the assigning process of the pixel to the nearest cluster. From the observed qualitative and quantitative results, it is proven that 2D-KM and 2D-MKM perform better than KM, FCM, and MKM in terms of producing more homogeneous segmentation results, while taking shorter time in executing the process as compared to FCM.
Keywords: Two-Dimensional K-Means (2D-KM), Two-Dimensional Moving K-Means (2D-MKM), Image Segmentation, Clustering.
EXTENSION of the file: .pdf
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