A robust methodology for solder joints extraction

Author

Abdelhameed, Magdy M. ; Awad, Mamoun Adel ; Abd El-Aziz, Hend M.

Author_Institution

Mechatron. Eng. Dept., Ain Shams Univ. Cairo, Cairo, Egypt

fYear

2013

fDate

26-28 Nov. 2013

Firstpage

268

Lastpage

273

Abstract

In Electronic Manufacturing Industry, machine vision systems have been announced to outperform the electrical inspection systems effectively. It supports the Surface Mount Technology (SMT) and improves the diagnostic capabilities. The challenge there is to miniaturize components with high packing density under economic considerations. This paper presents a front-end automatic detection system tackles with the solder joint specularity, illumination variations and recognition misalignment problems. This can be achieved by enhancing the threshold-based segmentation method using Discrete Cosine (DCT).

Keywords

automatic optical inspection; computer vision; discrete cosine transforms; electronic engineering computing; electronics industry; image segmentation; printed circuit manufacture; production engineering computing; solders; surface mount technology; DCT; SMT; diagnostic capability; discrete cosine; electrical inspection systems; electronic manufacturing industry; front-end automatic detection system; illumination variations; machine vision systems; packing density; recognition misalignment problem; robust methodology; solder joint specularity; solder joints extraction; surface mount technology; threshold-based segmentation method; Brightness; Discrete cosine transforms; Image segmentation; Inspection; Lighting; Soldering; Automatic PCB inspection; DCT segmentation; computer vision application; illumination normalization; solder joints segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering & Systems (ICCES), 2013 8th International Conference on

Conference_Location

Cairo

Print_ISBN

978-1-4799-0078-7

Type

conf

DOI

10.1109/ICCES.2013.6707217

Filename

6707217