A new approach for parallel region growing algorithm in image segmentation using MATLAB on GPU architecture

Image segmentation is the process of dividing a digital image into multiple segments or clusters. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful for analysis. Image segmentation is typically used to separate the region of interest from the input image. So we have different region of interest for different applications. None of the algorithm will satisfy this global application to give better result from the computational point of view. So Segmentation is one of the challenging issues in Digital Image Processing. Many general-purpose algorithms have been developed for image segmentation in which Region Growing is one of them. This paper presents a comparison between serial execution of the Region growing algorithm and Parallel execution of it on CUDA platform (provided by nvidia) integration with MATLAB. Finally we are able to solve the computational complexity and improve the real-time performance of Region Growing using GPU computing. MATLAB is used as a platform for serial execution and CUDA is used as a platform for parallel execution.