Aithal, Prakash K and Acharya, Dinesh U and Rajesh, G (2014) MPI based Edge Detection of Coloured Image using Laplacian of Gaussian Filter. International Journal of Computer Applications. pp. 5-7. ISSN 0975 – 8887

PDF IJCA.pdf - Published Version Restricted to Registered users only Download (459kB) | Request a copy

Abstract

Edge detection is the process of identifying points in a digital image at which image brightness changes sharply. Edge detection is one of the fundamental tasks in Image Processing. Image processing tasks such as object identification, segmentation and robot vision requires high quality edge detection. In this paper an edge detection using Message Passing Interface (MPI) has been implemented with 2, 4 and 8 processes. The paper compares the result with sequential implementation of edge detection. There is an improvement in performance as we increase the number of processes. Depending on the image size we can increase the number of processes. MPI is more suitable for a large size images like geospatial image. The edge detection using MPI is number of processes time faster than its sequential counterpart and speed up is approximately equal to number of processes used. The performance improved by a factor of 5 with 5 processes for colored image and by a factor of 4 for grey scaled image.

Actions (login required)

View Item