This paper addresses a Gibbs random field (GRF) model for image segmentation of variety of images without the usage of machine learning, training data or supervision. Images represented in four colourspaces were, including greyscale, RGB, L*a*b* and OHTA. An optimisation is achieved through the Simulated Annealing algorithm. Results of segmentation are analysed for limitations and usefulness for certain types of images.