Image Recognition and Classification based on Elastic Model

doi:10.23940/ijpe.19.10.p26.27942804

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (10): 2794-2804.doi: 10.23940/ijpe.19.10.p26.27942804

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Image Recognition and Classification based on Elastic Model

Mingzhu Liu, BOF Algorithm^*, Xue Bao, and Lu Pang

Submitted on ; Revised on ; Accepted on
About author:* Corresponding author. <i>E-mail address</i>: lmz@hrbust.edu.cnAbout author: Mingzhu Liu is an associate professor in the College of Measurement and Control Technology and Communication Engineering at Harbin University of Science and Technology. His research interests include intelligent information processing and machine learning. Xue Bao is a master's student in the School of Measurement and Control Technology and Communication Engineering at Harbin University of Science and Technology. Her research interest is machine vision. Lu Pang is a master's student in the School of Measurement and Control Technology and Communication Engineering at Harbin University of Science and Technology. Her research interest is digital image processing.

Abstract

Abstract:

To solve the problems of mosaic effect and block distortion in the process of image enlargement or reduction, which decrease the accuracy of image recognition and classification, a new fusion algorithm is proposed in this paper. It is a method that integrates an elastic model with the BOF algorithm. Firstly, the distortion phenomenon of static images is studied in depth. Then, the basic principle of the classical BOF algorithm is studied. At the same time, the method and steps of generating feature descriptors using the BOF algorithm are deeply analyzed, and the clustering of feature elements is realized by using the spatial pyramid method. Aiming at the problem of low classification accuracy of scaled images with block distortion, an elastic model method is proposed. It introduces elasticity parameters to scaled image processing and combines the new features obtained by the BOF algorithm to further compensate the block distortion, so as to improve the image recognition accuracy.

Key words: image recognition, block distortion, BOF algorithm, elastic model

Mingzhu Liu, BOF Algorithm, Xue Bao, and Lu Pang. Image Recognition and Classification based on Elastic Model [J]. Int J Performability Eng, 2019, 15(10): 2794-2804.

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Image Recognition and Classification based on Elastic Model

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