Image segmentation is the process of partitioning an image into multiple parts, so that each part or each region corresponds to an object or area of interest that is more significant and easier to analyze. Several general-purpose algorithms and techniques have been developed for image segmentation. This paper describes the different segmentation techniques used to achieve outdoor scene image segmentation. Unlike other surveys that only describe and compare qualitatively different approaches, this survey deals with a real quantitative comparison of the F-measure.