Optimized Fuzzy Logic Based Segmentation for Abnormal MRI Brain Images Analysis
In this paper an optimized fuzzy logic based segmentation for abnormal MRI brain images analysis is presented. A conventional fuzzy c-means (FCM) technique does not use the spatial information in the image. In this research, we use a FCM algorithm that incorporates spatial information into the membership function for clustering. The FCM algorithm that incorporates spatial information into the membership function is used for clustering, while a conventional FCM algorithm does not fully utilize the spatial information in the image.The advantage of the technique is less sensitive to noise than the others. Originality of this research is focused in application of the technique on a normal and a glioma MRI brain images, and analysis of the area of abnormal mass from segmented images. The results show that the method effectively segmented MRI brain images, and the segmented normal and glioma MRI brain images can be analyzed for diagnosis purpose. The area of abnormal mass is identified from 7.15 to 19.41 cm2.
Keywords: Adaptive image segmentation, FCM clustering, abnormal MRI brain image, fuzzy membership function
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ABOUT THE AUTHORS
Indah Soesanti
Indah Soesanti is with the Department of Electrical Engineering and Information Technology, Gadjah Mada University, Yogyakarta. Indonesia. She received B.S., M.Eng., and Ph.D. from Gadjah Mada University. Yogyakarta. Indonesia in 1998, 2001, and 2011. respectively. She has more than 7 years of experience in teaching. Her research interests include image processing, signal processing, fuzzy logiz and its application, optimization. and information system. She has published more than six papers in national and international journals. She has also presented more than ten research articles in national and international conferences.
Adhi Susanto
Adhi Susanto is a Professor in the Department of Electrical Engineering and Information Technology. Gadjah Mada University. Yogyakarta. Indonesia. He received M.Sc. and Ph.D. from University of California. Davis. US in 1966 and 1986. respectively. He has more than 40 years of experience in teaching and research. His current area of research includes image processing. signal processing. neural networks. wavelets. fuzzy logiz and its application. optimization and control. instrumentation. and information system. He has published more than ten papers in referred international journals. He has also presented more than twenty research articles in national and international conferences. He has written few books related to his research work.
Thomas Sri Widodo
Thomas Sri Widodo is a Professor in the Department of Electrical Engineering and Information Technology. Gadjah Mada University. Yogyakarta. Indonesia. He received DEA. and Ph.D. from Universite des Sciences et Techniques du Languedoc. Montpellier 2. France in 1986 and 1988. respectively. He has more than 30 years of experience in teaching and research. His current area of research includes electronics. telecommunication. image processing. signal processing. neural networks. wavelets. fuzzy logiz and its application. instrumentation and control. biomedical engineering. and hypertermia. He has published more than ten papers in referred international journals. He has also presented more than fourty research articles in national and international conferences. He has written few books related to his research work. He is currently dealing with few projects sponsored by government of Indonesia (the Ministry of Education and the State Ministry of Research and Technology).
Maesadji Tjokronagoro
Maesadji Tjokronagoro is a Professor in the Faculty of Medicine. Gadjah Mada University. Yogyakarta. Indonesia. He received M.S. and Ph.D. from Gadjah Mada University. Yogyakarta. Indonesia in 1981 and 1986. respectively. He has more than 30 years of experience in teaching and research. His current area of research includes radiology. radiotherapy. medical image processing. biomedical engineering. and hypertermia.
Indah Soesanti
Indah Soesanti is with the Department of Electrical Engineering and Information Technology, Gadjah Mada University, Yogyakarta. Indonesia. She received B.S., M.Eng., and Ph.D. from Gadjah Mada University. Yogyakarta. Indonesia in 1998, 2001, and 2011. respectively. She has more than 7 years of experience in teaching. Her research interests include image processing, signal processing, fuzzy logiz and its application, optimization. and information system. She has published more than six papers in national and international journals. She has also presented more than ten research articles in national and international conferences.
Adhi Susanto
Adhi Susanto is a Professor in the Department of Electrical Engineering and Information Technology. Gadjah Mada University. Yogyakarta. Indonesia. He received M.Sc. and Ph.D. from University of California. Davis. US in 1966 and 1986. respectively. He has more than 40 years of experience in teaching and research. His current area of research includes image processing. signal processing. neural networks. wavelets. fuzzy logiz and its application. optimization and control. instrumentation. and information system. He has published more than ten papers in referred international journals. He has also presented more than twenty research articles in national and international conferences. He has written few books related to his research work.
Thomas Sri Widodo
Thomas Sri Widodo is a Professor in the Department of Electrical Engineering and Information Technology. Gadjah Mada University. Yogyakarta. Indonesia. He received DEA. and Ph.D. from Universite des Sciences et Techniques du Languedoc. Montpellier 2. France in 1986 and 1988. respectively. He has more than 30 years of experience in teaching and research. His current area of research includes electronics. telecommunication. image processing. signal processing. neural networks. wavelets. fuzzy logiz and its application. instrumentation and control. biomedical engineering. and hypertermia. He has published more than ten papers in referred international journals. He has also presented more than fourty research articles in national and international conferences. He has written few books related to his research work. He is currently dealing with few projects sponsored by government of Indonesia (the Ministry of Education and the State Ministry of Research and Technology).
Maesadji Tjokronagoro
Maesadji Tjokronagoro is a Professor in the Faculty of Medicine. Gadjah Mada University. Yogyakarta. Indonesia. He received M.S. and Ph.D. from Gadjah Mada University. Yogyakarta. Indonesia in 1981 and 1986. respectively. He has more than 30 years of experience in teaching and research. His current area of research includes radiology. radiotherapy. medical image processing. biomedical engineering. and hypertermia.
