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Abnormal Noise Recognition of Door Closing for Passenger Car based on Image Processing

Author(s):

Yongchao Song, Lili Su* and Xiaolan Wang   Pages 1 - 10 ( 10 )

Abstract:


Background: With the rapid development of automobile technology, the problem of abnormal door-closing noise has attracted more and more attention. The abnormal door-closing noise is an important factor for judging the quality of a car, so accurate identification of abnormal noise is the premise of fundamentally solving the abnormal noise.

Objective: To accurately identify the abnormal sound of car closing through the image processing method.

Methods: To accurately identify the abnormal noise of car closing

Keywords:

Abnormal sound recognition, HOG feature, Kernel function, support vector machine, SURF feature, texture feature.

Affiliation:

School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201600, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201600, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201600



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