Name
Abstract | ||
|---|---|---|
One important part of a read/write head in hard disk drive is Air Bearing Surface (ABS), therefore its verifying is necessary. Main problem of verifying ABS with machine vision in manufacturing process is variance of luminance intensity that affects image acquisition. This research proposes method for reduce variance of luminance intensity by Texture unit, then extracting the features of ABS with Principle Component Analysis, and selected threshold for clustering defected and non-defected ABS by mean of threshold set which has minimum summation of two types error as false rejection and false acceptance from training data. The experimental results show that without Texture unit, defected and non-defected ABS cannot be clustered. Thus proposed method is better used because it can be reduce variance of luminance intensity. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/FSKD.2012.6234151 | Fuzzy Systems and Knowledge Discovery |
Keywords | Field | DocType |
automatic optical inspection,brightness,computer vision,disc drives,feature extraction,flaw detection,hard discs,image texture,magnetic heads,manufacturing processes,pattern clustering,principal component analysis,production engineering computing,air bearing surface,defect detection,false acceptance,false rejection,feature extraction,hard disk drive,image acquisition,luminance intensity invariance,machine vision,manufacturing process,nondefected ABS clustering,principle component analysis,read/write head,reduce variance,texture unit,training data,Intensity invarience,Luminance invarience,Principle Component Analysis,Texture unit | Computer vision,Invariant (physics),Pattern recognition,Machine vision,Image texture,Computer science,Feature extraction,Artificial intelligence,Luminance,Cluster analysis,Principal component analysis,Brightness | Conference |
ISBN | Citations | PageRank |
978-1-4673-0025-4 | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pichate Kunakornvong | 1 | 0 | 0.34 |
| Chiewchan Tangkongkiet | 2 | 0 | 0.34 |
| Pitikhate Sooraksa | 3 | 20 | 6.81 |