Region based segmentation technique and algorithms for 3D image

Abstract

Region growing is a general technique for image segmentation, where image characteristics are used to group adjacent pixels together to form regions. This paper presents a parallel algorithm for solving the region growing problem based on the split and merge approach, and uses it to test and compare various parallel architecture models. Image segmentation is the process by which the original image is partitioned into some meaningful regions. It is the foundation of higher level processing; eg, object recognition. Both algorithms are supposed to segment 2D as well as 3D data sets. An objective comparison performs the evaluation using specified region growing, splitting and merging, and region segmentation.