A New Image Enhancement Algorithm for PCB Defect Detection

Author

Guan, Shu-an ; Guo, Fenglin

Author_Institution

Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., Wuhan, China

fYear

2011

fDate

20-21 Aug. 2011

Firstpage

454

Lastpage

456

Abstract

According to the PCB image feature in a PCB defect detection project, we studied a new image enhancement algorithm: double sigmoid transformation and also deduced the transformation arithmetic operator. Practical project experiments show that the new algorithm can effectively sharpen PCB image edges, at same time it can filter out noise in the image. Even if the original PCB image is not distinct enough and uniform brightness, the algorithm is able to precisely locate circuit edge, which can make the edge extracting and edge recognition easier.

Keywords

edge detection; fault diagnosis; image enhancement; printed circuits; PCB defect detection; PCB image feature; double sigmoid transformation; edge extraction; edge recognition; image enhancement; transformation arithmetic operator; Filtering algorithms; Image edge detection; Image enhancement; Image segmentation; Inspection; Noise; Optical filters; PCB defect detection; Sigmoid arithmetic operator; Sigmoid transformation; image enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligence Science and Information Engineering (ISIE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4577-0960-9

Electronic_ISBN

978-0-7695-4480-9

Type

conf

DOI

10.1109/ISIE.2011.54

Filename

5997480