Image based contamination detection on hard disk head gimbal assembly

Ieamsaard, Jirarat; Muneesawang, Paisarn; Sandnes, Frode Eika
Peer reviewed, Chapter
Thumbnail
View/Open
URI
https://hdl.handle.net/10642/2996
Date
2015
Metadata
Show full item record
Collections
Original version
Ieamsgaard, J., Muneesawang, P. & Sandnes, F. E. (2015). Image based contamination detection on hard disk head gimbal assembly. In A. Kawtrakul (Ed.), SITIS 2015 - The 11th International Conference on Signal Image Technology & Internet System (pp. 143-146). (n.p):IEEE Computer Society.  
Abstract
Contamination may appear in various stages of

hard disk manufacturing including the head gimbal

assembly. Currently, the detection of contamination requires

manual intervention. An image based automatic

contamination detection strategy is therefore presented.

After a preprocessing step, the contamination detection

algorithm first detects potential areas of contamination using

circle detection. Then, each of the contamination contenders

are classified as either a contamination or noncontamination

using a set of specific rules. The algorithm has

been tested on 1,050 head gimbal assembly images of which

313 depicted contaminations. Our preliminary results yields

an accuracy of 73.8% with a false negative rate of 34.8% and

a false positive rate of 23.6%. Future work includes finetuning

the contamination classification rules.
Publisher
IEEE Computer Society
Series
SITIS 2015 - The 11th International Conference on Signal Image Technology & Internet System;