Insulator image classification with the use of Bag of Words

• Autorzy: Osuchowski J.
• Języki publikacji: EN

Abstrakty

EN

In this article, a method for insulator image classification is shown. For this purpose a Bag of Words algorithm, which was implemented in the Matlab environment, was used. In addition the Support Vector Machine algo-rithm was used for classification purpose and the Speeded Up Robust Features algorithm was employ for features description. Both algorithms are also parts of the Matlab environment. This paper includes also a description of BoW (Bag of Words) creation process. Some of the method limitation have also been present-ed.

• Wydawca: Oficyna Wydawnicza Politechniki Opolskiej
• Czasopismo: Zeszyty Naukowe. Elektryka / Politechnika Opolska
• Rocznik: 2018
• Tom: z. 76
• Strony: 75--76
• Opis fizyczny: Bibliogr. 3 poz., rys., tab.

Twórcy

autor

Osuchowski J.

• Faculty of Electrical Engineering, Automatic Control and Informatics Institute of Computer Science

Bibliografia

• [1] KONIUSZ P., YAN F., GOSSELIN P. H., MIKOLAJCZYK K.: Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 39, No. 2, pp. 313–326, 2017
• [2] CSURKA G., DANCE C. R., FAN L., WILLAMOWSKI J., BRAY C.: Visual categorization with bags of keypoints, Proc. Workshop Statistical Learn. Comput. Vis., pp. 1–22, 2004
• [3] YANG J., JIANG Y.G., HAUPTMANN A. G., NGO C.W.: Evaluating bag-of-visual-words representations in scene classification, Proc. Int. Workshop Multimedia Inform. Retrieval, pp. 197–206, 2007

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).