— Unmanned ground vehicle is a smart autonomous vehicle that is mainly capable to do tasks without the need of human
operator. An automated vehicle work during off road navigation and mainly used in military operation such as detecting bombs, border
patroling.These types of automated vehicles are required even in driving road vehicles where human errors cause major fatal loss of life
and property. For this purpose the functionality of unmanned ground vehicle can be enhanced by using region based image
segmentation which will help to identify the obstacles that come in the path of UGV.In this paper, Region based image segmentation
algorithm is proposed to identify obstacles (car, human, tree etc).This method is compared with edge based image segmentation method
based on three parameters (angle of projection, angle of disjunction and angle of disjunction). Based on comparisons, region based
image segmentation algorithm is capable of producing more accurate results as compared to edge based segmentation algorithm.