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

Title:
PERFORMANCE ANALYSIS OF MORPHOLOGICAL OPERATIONS IN CPU AND GPU FOR ACCELERATING DIGITAL IMAGE APPLICATIONS
Authors:
T.Kalaiselvi
Publisher Information:
Zenodo
Publication Year:
2016
Collection:
Zenodo
Document Type:
Academic journal article in journal/newspaper
Language:
unknown
Relation:
https://zenodo.org/records/1318461; oai:zenodo.org:1318461; https://doi.org/10.5281/zenodo.1318461
DOI:
10.5281/zenodo.1318461
Availability:
https://doi.org/10.5281/zenodo.1318461
https://zenodo.org/records/1318461
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.8ED7479C
Database:
BASE

Further Information

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.