Fiabilitate şi Durabilitate (May 2012)
IMAGE SEGMENTATION FOR INDUSTRIAL QUALITY INSPECTION
Abstract
The contaminant detection process of an industrial product is an important stage of a modern production factory. The large demand of quality products has lead producers to use automated systems. One such system is the automated detection of defects/contaminants. An X-ray image of the product is taken and automatically analysed by the system. The most important step of the process of inspecting that product is the segmentation of the image into meaningful objects (defects and normal product). This paper presents an original approach along with other classical techniques for the segmentation of dual-band X-ray images of industrial products.
