Detection of small or low-contrast defects in web inspection

Jyrki Laitinen

doi:10.1117/12.301247

2 February 1998 Detection of small or low-contrast defects in web inspection

Jyrki Laitinen

Proceedings Volume 3306, Machine Vision Applications in Industrial Inspection VI; (1998) https://doi.org/10.1117/12.301247
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

In many web inspection applications the inspection should be able to detect and classify a large number of different- sized defects with varying scattering properties. As a consequence, a high-resolution system with a wide dynamic range is needed. The performance of the system should also remain uniform over the image area. Three major elements affecting the image formation of a web inspection system are illumination, imaging and detection algorithms. The relationship between these elements and the final image quality is discussed. Practical examples of how the system performance is related to the quality of the image formation are given. In the examples small or low-contrast defect samples picked from industrial manufacturing process are analyzed. Defects are classified as small if they cover an area of ten CCD pixels or less in the image plane or they have such an orientation that the size of the defect in one dimension is extremely small as is in the case of some scratches. The defect is considered as low-contrast if the relative defect contrast is less than the pattern noise in the imaging system. As a conclusion some criteria and an approach for the systematization of the design of the image formation are discussed.

Citation Download Citation

Jyrki Laitinen "Detection of small or low-contrast defects in web inspection", Proc. SPIE 3306, Machine Vision Applications in Industrial Inspection VI, (2 February 1998); https://doi.org/10.1117/12.301247

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