A Survey on the MRF Model Using Image Segmentation Techniques

In day-to-day developed new technologies are emerging in the field of Image processing, especially in the domain of segmentation. The most common segmentation techniques like thresho lding, Model based, Edge detection, Clustering etc., citation its advantages as well as the drawbacks. Some of the techniques are suitable for noisy images. In that Markov Random Field (MRF) is the rugged method of noise cancellation in images whereas thresholding is the simplest Technique for segmentation. Keyword: Edge detection; Line segment detection; Image processing, image segmentation, markov random field.