Detecting Visual Objects by Edge Crawling-Reference-Cited by-同舟云学术

Detecting Visual Objects by Edge Crawling

Published:2020-05-23 Issue:3 Volume:10 Page:223-237
ISSN:2083-2567
Container-title:Journal of Artificial Intelligence and Soft Computing Research
language:en
Short-container-title:

Author:

Grycuk Rafał¹,Wojciechowski Adam²,Wei Wei³,Siwocha Agnieszka⁴

Affiliation:

1. Czestochowa University of Technology , al. Armii Krajowej 36, 42-200 Częstochowa , Poland

2. Institute of Information Technology , Lodz University of Technology , Lodz , Poland

3. School of Computer Science and Engineering , Xi’an University of Technology , China

4. Information Technology Institute , University of Social Sciences , 90-113 Łodz Clark University Worcester, MA 01610, USA

Abstract

Abstract Content-based image retrieval methods develop rapidly with a growing scale of image repositories. They are usually based on comparing and indexing some image features. We developed a new algorithm for finding objects in images by traversing their edges. Moreover, we describe the objects by histograms of local features and angles. We use such a description to retrieve similar images fast. We performed extensive experiments on three established image datasets proving the effectiveness of the proposed method.

Publisher

Walter de Gruyter GmbH

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Hardware and Architecture,Modelling and Simulation,Information Systems

Link

https://www.sciendo.com/pdf/10.2478/jaiscr-2020-0015

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