Image Analysis Based On Segmentation Algorithms

Image segmentation is the process of partitioning a digital image into multiple segments. Segmentation is fundamental step in analyzing and understanding an image. In this paper, different segmentation algorithms are implemented. Watershed transform is region based segmentation technique. It changes your image into another image whose catchment basins are the objects you want to identify. Whereas, quadtree segmentation uses region splitting tool which allows to divide an image within a complete tree representation, including neighboring information . But both this algorithms causes over segmentation. Therefore, labeling watershed algorithm has been applied. Marker based watershed transform segments an image using internal and external markers. But, as the large number of regions are formed, hence seed region growing algorithm is used to solve the problem caused by marker based watershed transform. Keywords— Image segmentation, Watershed algorithm, Quadtree algorithm, Marker based watershed algorithm, Seed region growing algorithm.