Abstract: Splitting up an image into multiple segments in order to change the representation of an image into something that is more meaningful and easier to analyze is known as image segmentation. For image segmentation many algorithms and techniques have been developed. This paper analyses different segmentation techniques to reduce the computational complexity of processor in the field of image segmentation, we are specially focusing on Mean Shift Algorithm. The composition of segmentation methodologies proposes for digital image processing is explained briefly. Various techniques are mentioned in this paper that are applied in very advance mission of identification of object or region image.