|
DSpace@nitr >
National Institue of Technology- Rourkela >
Conference Papers >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/413
|
| Title: | Multiresolution Approach for Color Image Segmentation using MRF Model |
| Authors: | Panda, Sucheta
Nanda, P K
Mohapatra, P J |
| Keywords: | Ohta color Space
MAP Estimate
Segmentation
Simuated Annealing
Hybrid Algorithm |
| Issue Date: | 2007 |
| Publisher: | National Institute of Technology, Rourkela |
| Citation: | Proceedings of the National Conference on Smart Communication Technologies and Industrial Informatics, SCTII, 03-04 Feb 2007, Rourkela. P 34-42 |
| Abstract: | In this paper, the color image segmentation problem is
addressed in supervised framework. In the supervised
framework, we assume to have one original image from the
class of images from which the given image is derived. In
this framework, We have used Markov Random
Field(MRF) to model the image label process and the MRF
model parameters are estimated using the conditional
pseudolikelihood criterion. Ohta( I1, I2, I3 )model is used as
the color model. The segmentation problem is formulated as
the pixel labeling problem. The image model parameter
estimation problem is formulated using pseudo-likelihood
criterion. The image label estimation problem is cast in
Maximum {a Posteriori} (MAP) framework. These MAP
estimates are obtained using the proposed new hybrid
algorithm and compared with Simulated Annealing (SA)
algorithm. It is observed that the proposed hybrid algorithm
converge much faster than that of SA. The segmentation
scheme is further improved by adhering to mult... |
| Description: | Copyright for this article belongs to National Institute of Technology, Rourkela India |
| URI: | http://hdl.handle.net/2080/413 |
| Appears in Collections: | Conference Papers
|
Files in This Item:
| File |
Description |
Size | Format |
|---|
| SCTII07.pdf | | 679Kb | Adobe PDF | View/Open |
|
Show full item record
All items in DSpace are protected by copyright, with all rights reserved.
|
