Image Segmentation Using Compound Normal with Gamma Mixture Model
In this paper, we present the study of image segmentation using compound normal with gamma mixture(CNGM) distribution, derivation of the estimates of model parameters, construction of Expectation-Maximization(EM) algorithm and its performance analysis in comparison to the current model(statistical) and structural(organization and relationship among pixels) based image analysis approaches. In this model, the pixel intensities in each image region are assumed to follow Gaussian distribution in which the rate parameter is random and follows gamma distribution. Hence it has the advantage of dealing with a mixture of mesokurtic and leptokurtic distributions that may be inherent in some images. Thus, it generally fares better than a finite normal mixture(NM) based model since the latter assumes that all components follow normal distribution and normal distribution is mesokurtic in general. Also it includes image segmentation based on Gaussian mixture model as a particular case.
Keywords: EM algorithm, statistical image analysis, image segmentation, pixel classification
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ABOUT THE AUTHORS
Viziananda Row Sanapala
Viziananda Row Sanapala received his B.Tech in Chemical Engg in 1983 and M Tech in Computer Science & Technology in 1987 both from Andhra University. He served as Lecturer in Computer Science in Acharya Nagarjuna University, India from 1988 to 1995 and presently is serving as Associate Professor in Computer Science & Systems Engg in Andhra University, India. His research interests include image processing, pattern recognition, artificial intelligence, data mining, distributed systems, and other areas. He is currently a fellow of institution of engineers(India).
Sreenivasa Rao Kraleti
Sreenivasa Rao Kraleti received his M Sc in Statistics in 1982 and Ph D in Statistics in 1990 both from Andhra University. He joined Andhra University in 1985 as Lecturer and is currently serving as Professor of Statistics in Andhra University, India. His research interests are data analysis, stochastic modeling, statistical inference, and other areas. He published several papers in journals and conferences at national and international level. He has guided a good number of doctoral level students and is presently guiding several others. He holds to his credit several administrative positions in his serving university. He is currently a fellow of Andhra Pradesh academy of sciences(India).
Srinivasa Rao Peri
Srinivasa Rao Peri received his M Sc in Statistics in 1982 from Andhra University and Ph D in Computer Science in 1987 from IIT, Kharagpur, India. He joined Andhra University in 1987 as Lecturer and is presently serving as Professor in Computer Science & Systems Engg in Andhra University, India. His research interests include image processing, queueing theory, data mining, and other areas. He published several papers in journals and conferences at national and international level. He guided several doctoral level students and currently has a number of students pursuing their research under him. He holds to his credit several administrative positions in his serving university.
Viziananda Row Sanapala
Viziananda Row Sanapala received his B.Tech in Chemical Engg in 1983 and M Tech in Computer Science & Technology in 1987 both from Andhra University. He served as Lecturer in Computer Science in Acharya Nagarjuna University, India from 1988 to 1995 and presently is serving as Associate Professor in Computer Science & Systems Engg in Andhra University, India. His research interests include image processing, pattern recognition, artificial intelligence, data mining, distributed systems, and other areas. He is currently a fellow of institution of engineers(India).
Sreenivasa Rao Kraleti
Sreenivasa Rao Kraleti received his M Sc in Statistics in 1982 and Ph D in Statistics in 1990 both from Andhra University. He joined Andhra University in 1985 as Lecturer and is currently serving as Professor of Statistics in Andhra University, India. His research interests are data analysis, stochastic modeling, statistical inference, and other areas. He published several papers in journals and conferences at national and international level. He has guided a good number of doctoral level students and is presently guiding several others. He holds to his credit several administrative positions in his serving university. He is currently a fellow of Andhra Pradesh academy of sciences(India).
Srinivasa Rao Peri
Srinivasa Rao Peri received his M Sc in Statistics in 1982 from Andhra University and Ph D in Computer Science in 1987 from IIT, Kharagpur, India. He joined Andhra University in 1987 as Lecturer and is presently serving as Professor in Computer Science & Systems Engg in Andhra University, India. His research interests include image processing, queueing theory, data mining, and other areas. He published several papers in journals and conferences at national and international level. He guided several doctoral level students and currently has a number of students pursuing their research under him. He holds to his credit several administrative positions in his serving university.
