The Study of an Improved Fuzzy Edge Detection Algorithm in the Radial Tire Quality Detection

Fang Yuan Li

doi:10.4028/www.scientific.net/AMR.317-319.968

Paper Titles

Coding Method of Visual Perception Reconstruction Based on Curve Fitting and Energy Function
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The Research on Camera Axis Perpendicular to the Target Surface and Method to Confirm its Position in Space
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Inspection and Grading of Surface Defects of Fruits by Computer Vision
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A 3D Reconstruction Framework from Image Sequences Based on Point and Line Features
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The Study of an Improved Fuzzy Edge Detection Algorithm in the Radial Tire Quality Detection
p.968

Study on a TBD Algorithm of Pulsed Laser Radar Sensor
p.975

An Efficient VMIMO Scheduling Scheme for Wireless Sensor Networks
p.980

Study on the Methods of Reduceing Noise in Signal Processing Circuit of CCD Remote Sensor
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Research on the Transverse Displacement Sensors Using Linear Array CCD
p.988

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 317-319The Study of an Improved Fuzzy Edge Detection...

The Study of an Improved Fuzzy Edge Detection Algorithm in the Radial Tire Quality Detection

Abstract:

The internal radial tire defects will affect the performance and the service life of the automobile. But the traditional detection method is to observe and detect in eyes using X-ray map which result that a lot of quality problems can not properly been judged out. This paper describes the X-ray image recognition using a fuzzy algorithm. The improved algorithm simplifies the traditional fuzzy algorithm complexity without the transform and inverse transform. The experimental results show that the improved algorithm makes the computational efficiency and extract more refined and clear edge for the radial tire which can correctly identify the failure and provide the necessary data processing.

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Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

968-971

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.317-319.968

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Online since:

August 2011

Authors:

Fang Yuan Li

Keywords:

Edge Detection, Fuzzy Set, Improved Fuzzy Algorithm, Membership, Radial Tire Quality Detection

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