The Research of Image Classification Methods Based on the Introducing Cluster Representation Parameters for the Structural Description

Ahmad M. Ayaz; Gorokhovatskyi, V.; Tvoroshenko, I.; Vlasenko, N.; Mustafa Syed Khalid

Публікація:
The Research of Image Classification Methods Based on the Introducing Cluster Representation Parameters for the Structural Description

dc.contributor.author	Ahmad M. Ayaz
dc.contributor.author	Gorokhovatskyi, V.
dc.contributor.author	Tvoroshenko, I.
dc.contributor.author	Vlasenko, N.
dc.contributor.author	Mustafa Syed Khalid
dc.date.accessioned	2021-10-07T16:47:24Z
dc.date.available	2021-10-07T16:47:24Z
dc.date.issued	2021
dc.description.abstract	The results of the development of high-speed methods for classifying images in computer vision systems using the description as a set of keypoints descriptors are presented. Classification methods based on the system of cluster centers parameters, which are independently constructed for etalon descriptors set, are researched. The competitive voting of the descriptors of object being recognized on a set of etalon centers is proposed. An optimal way of comparing the sets of cluster centers for an object and etalons is applied. Experimental estimation of the efficiency for the two presented classification methods in terms of computation time and classification accuracy based on the results of applied dataset processing are shown. Based on the research, a conclusion about the effectiveness of classification technologies using cluster centers for structural descriptions of images to ensure decision-making in real-time is made.	uk_UA
dc.identifier.citation	M. Ayaz Ahmad, Volodymyr Gorokhovatskyi, Iryna Tvoroshenko, Nataliia Vlasenko, Syed Khalid Mustafa (2021) The Research of Image Classification Methods Based on the Introducing Cluster Representation Parameters for the Structural Description, International Journal of Engineering Trends and Technology, 69(10), pp. 186-192.	uk_UA
dc.identifier.other	DOI: 10.14445/22315381/IJETT-V69I10P223
dc.identifier.uri	https://openarchive.nure.ua/handle/document/17851
dc.language.iso	en	uk_UA
dc.publisher	Seventh Sense Research Group	uk_UA
dc.subject	computer vision	uk_UA
dc.subject	descriptor	uk_UA
dc.subject	image classification	uk_UA
dc.subject	keypoint	uk_UA
dc.subject	ORB Detector	uk_UA
dc.title	The Research of Image Classification Methods Based on the Introducing Cluster Representation Parameters for the Structural Description	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication