Perpustakaan Fakultas Ilmu Komputer

Call Number	SEM-305
Collection Type	Indeks Artikel prosiding/Sem
Title	Color Image Segmentation using Constrained Compound Markov Random Field Modal and Homotopy Continuation Method
Author	Sucheta Panda,P.K. Nanda;
Publisher	PROCEEDINGS The First International Conference on Distributed Frameworks and Applications : DFmA 2008 21-22 October 2008,USM,Penang,Malaysia
Subject	Color Image,Segmentation,Color Model,MRF model and Simulated Annealing
Location

Lokasi : Perpustakaan Fakultas Ilmu Komputer

Nomor Panggil	ID Koleksi	Status
SEM-305		TERSEDIA

Tidak ada review pada koleksi ini: 41035

In this paper,we propose a supervised color image segmentation using homotopy continuattion method and Markov Random Field (MRF) model.We propose a constrained compound MRF model to take care of color texture and scene images.Ohta(I1,I2,I3) model is used as the color model for image segmentation.We also have extented the proposed mdoel to intercolor-planes as well as intra-color-planes of the color model and thus a Double constrained Compound MRF (DCCMRF) model is proposed.The a priori MRF model parameters are estimated using the proposed homotopy continuation based method.The model parameters are the maximum pseudo likelihood estimates.The DCCMRF model with estimated model parameters wxhibited improved segmentation accuracy as compared to DCMRF,MRF,Double MRF (DMRF) and JSED method.