JOURNAL ARTICLE

<title>Application algorithm of mathematical morphology for SMT</title>

Jun-Sik KwonJong S. Choi

Year: 1993 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2094 Pages: 171-182   Publisher: SPIE

Abstract

In this paper, we propose a new visual positioning and inspecting algorithm. The positioning algorithm is the process of computing the center position and the rotated angle of the surface mount device. The inspecting algorithm is capable of detecting the location of broken or bent leads. The morphological opening is applied to obtain a leadless image of the quad flat package or the small outline package, and the leadless image is able to be treated like an image of the square-shaped passive devices. The center position and the rotated orientation are found by four corner points which are obtained from the morphological skeleton subsets of the leadless image. After finding them, the hit and miss transform is utilized to extract the feature of the corner identification (ID). The ultimate orientation is determined correctly using results detected by hit structuring element and miss structuring element which satisfy the feature of the corner ID. The morphological inspection is executed extending over two steps, i.e., a rough inspection and a detailed inspection. The former is practiced before finding the center and the orientation, and the latter is performed after finding them.

Keywords:
Position (finance) Orientation (vector space) Feature (linguistics) Structuring element Computer science Computer vision Artificial intelligence Process (computing) Algorithm Center (category theory) Surface-mount technology Identification (biology) Image (mathematics) Automated optical inspection Structuring Surface (topology) Image processing Mathematical morphology Geometry Mathematics Printed circuit board

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Topics

Industrial Vision Systems and Defect Detection
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology

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