MULTIPLE EXPERTS IMAGE SEGMENTATION FOR OBJECT DETECTION

Bogdan-Cristian Taloi (), Alin-Gabriel Dumitru (), Patricia-Steliana Penariu () and Costin-Anton Boiangiu ()
Additional contact information
Bogdan-Cristian Taloi: University Politehnica of Bucharest, Romania
Alin-Gabriel Dumitru: University Politehnica of Bucharest, Romania
Patricia-Steliana Penariu: University Politehnica of Bucharest, Romania
Costin-Anton Boiangiu: University Politehnica of Bucharest, Romania

Journal of Information Systems & Operations Management, 2021, vol. 15, issue 1, 160-171

Abstract: This paper explores ways of creating an image segmentation system based on voting. Using segmentation techniques ranging from Artificial Intelligence algorithms such as Mask-RCNN to classical approaches like Mean Shift Clustering and other custom-designed segmentation techniques, the purpose of this paper is to create a mixed algorithm for image segmentation and object detection. The proposed method accomplishes the task by generating good results that compare favorably to four other related stand-alone image segmentation methods.

Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.rebe.rau.ro/RePEc/rau/jisomg/SU21/JISOM-SU21-A14.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:15:y:2021:i:1:p:160-171

Access Statistics for this article

More articles in Journal of Information Systems & Operations Management from Romanian-American University Contact information at EDIRC.
Bibliographic data for series maintained by Alex Tabusca ().