Abstract
We proposed a new image segmentation algorithm, called SC-SAM, which checks the homogeneity of an image block using a statistical hypothesis test. SC-SAM consists of five processes: a split process, edge region adjustment, a merge process, postprocessing, and region representation. ShortCut test is applied to split a block as well as to merge two homogeneous regions into a region. A threshold value for the region homogeneity test can be chosen theoretically. SC-SAM can provide relatively very low computational complexity as well as keep the quality of a reconstructed image. Furthermore, SC-SAM removes the necessity of a control map used for refining the output in conventional algorithms. SC-SAM can considerably reduce the number of merged regions and computational time, while retaining the visual quality of the reconstructed image.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
