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A Multi-scale Probabilistic Algorithm that can find Surface Defects on the Car Side-Protector

By Bae-guen Kwon and Dong-joong Kang

Abstract

Abstract—This paper proposes a defect detection method that can find the surface irregularity of the car side protector. The Variance Of Variance (VOV) method is used to detect the defects on various types of surface textures. The object surface of the car side protector usually has smooth or textured plane, including defects with intensive irregularity. Conventional variance detection algorithms are not adequate for detecting various defect types of multiple scales and intensity variations. The purpose of this paper is to propose a method that can find defections of different scales in a single framework. This method can detect defects of different sizes by changing the window’s size, which is combined with integral image method for real time processing of inspection. The image input is first, divided by rows and columns and can help in making small patches ready to be analyzed. The size of patch can then be changed and mixed to produce multiple responses. Due to the introduction of the integral image method, the computing performance of the probabilistic values in the patches is clearly improved. From the results of the experiments that used in real images, it is verified that the method can be applied to detect the defects of images for irregular and textured intensity under uneven illumination

Topics: Detection, Image Processing, Inspection System
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.308.1604
Provided by: CiteSeerX
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