Paper
25 April 2008 Automated inspection of microlens arrays
Author Affiliations +
Abstract
Industrial inspection of micro-devices is often a very challenging task, especially when those devices are produced in large quantities using micro-fabrication techniques. In the case of microlenses, millions of lenses are produced on the same substrate, thus forming a dense array. In this article, we investigate a possible automation of the microlens array inspection process. First, two image processing methods are considered and compared: reference subtraction and blob analysis. The criteria chosen to compare them are the reliability of the defect detection, the processing time required, as well as the sensitivity to image acquisition conditions, such as varying illumination and focus. Tests performed on a real-world database of microlens array images led to select the blob analysis method. Based on the selected method, an automated inspection software module was then successfully implemented. Its good performance allows to dramatically reduce the inspection time as well as the human intervention in the inspection process.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James Mure-Dubois and Heinz Hügli "Automated inspection of microlens arrays", Proc. SPIE 7000, Optical and Digital Image Processing, 700008 (25 April 2008); https://doi.org/10.1117/12.781015
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Inspection

Metals

Defect detection

Image processing

Lenses

Microlens array

Databases

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