PERFORMANCE ANALYSIS OF MORPHOLOGICAL OPERATIONS IN CPU AND GPU FOR ACCELERATING DIGITAL IMAGE APPLICATIONS

In this paper, we evaluate the performance of morphological operations in central processing unit (CPU) and graphics processing unit (GPU) on various sizes of image and structuring element. The languages selected for algorithm implementation are C++, Matlab for CPU and CUDA for GPU. The parallel programming approach using threads for image analysis is done on basic entities of images