Enhanced Object Detection using Generalized Hough Transform and RANSAC

Autor: Rammah Yousef
Rok vydání: 2019
Předmět:
Zdroj: International Journal of Innovative Technology and Exploring Engineering. 8:2046-2052
ISSN: 2278-3075
DOI: 10.35940/ijitee.l3254.1081219
Popis: In this paper object detection process has been implemented using the combination of some robust algorithms. The algorithms used are SIFT, GHT and RANSAC. Two models have been proposed which using two of the above mentioned algorithms. In model one features extraction by SIFT has been processed using Generalized Hough Transform (GHT) , where in other model improved RANSAC has been used to eliminate the mismatches in order to achieve better recognition resolution. Overall GHT is found to be superior technique to achieve object detection efficiently.
Databáze: OpenAIRE