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http://dx.doi.org/10.33851/JMIS.2019.6.4.173

Object Detection from Mongolian Nomadic Environmental Images  

Perenleilkhundev, Gantuya (Department of Information and Computer Sciences, National University of Mongolia)
Batdemberel, Mungunshagai (Department of Information and Computer Sciences, National University of Mongolia)
Battulga, Batnyam (Department of Information and Computer Sciences, National University of Mongolia)
Batsuuri, Suvdaa (Department of Information and Computer Sciences, National University of Mongolia)
Publication Information
Journal of Multimedia Information System / v.6, no.4, 2019 , pp. 173-178 More about this Journal
Abstract
Mongolian historical and cultural monuments on settlement areas of stone inscriptions, stone images, rock-drawings, remains of cities, architecture are still telling us their stories. These monuments depict the understanding of the word, philosophical and artistic outlook, beliefs, religion, national art, language, culture and traditions of Mongols [1]. Nowadays computer science, especially computer vision is applying in the other science fields. The main problem is how to apply and which algorithm can detect and classify the objects correctly. In this paper, we propose a method to detect object from Mongolian nomadic environment images. This work proposes a method for object detection that is the combination of the binary operations in the edge detection results. We found out the best method and parameters of state-of-the-art machine learning algorithms. In experimental result, we evaluate our results with 10-fold cross validation and split 66% strategies.
Keywords
Image processing; Rock-drawing image; Objects detection and classification;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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