International Journal of Engineering and Technology

In day-to-day life, new technologies are emerging in the field of Image processing especially in the domain of segmentation. This paper presents a brief outline of some of the most common segmentation techniques like thresholding, Model based, Edge detection, Clustering etc., mentioning it’s advantages as well as the drawbacks. Some of the techniques are suitable for noisy images.In that Markov Random Field (MRF) is strong against the noise whereas thresholding is the simplest technique for segmentation.