Name
Abstract | ||
|---|---|---|
The automatic inspection of throw-away tips is very important for quality control in precision cutting. We proposed an image processing based method for automatic inspection of the processing wear of throw-away tips. Our proposed method utilized principal component analysis as a preprocessing to reduce the noise and enhance the contrast of the cutting wear region with the background region. Then the PCA transformed wear region is automatically segmented by a simple thresholding method. The area of the segmented wear region is used as a measure of cutting wear degree. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD) | Principal component analysis, Segmentation, Wear region, throw-away tips, automatic inspection |
Field | DocType | Citations |
Computer vision,Pattern recognition,Computer science,Segmentation,Image processing,Preprocessor,Artificial intelligence,Thresholding,Principal component analysis | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ting Wang | 1 | 725 | 120.28 |
| Xian-Hua Han | 2 | 109 | 28.28 |
| Rui Xu | 3 | 23 | 4.30 |
| Yen-Wei Chen | 4 | 720 | 155.73 |
| Yoshitomo Ishizaki | 5 | 0 | 0.34 |
| Masaru Miyamoto | 6 | 0 | 0.34 |
| Tomohito Hattori | 7 | 0 | 0.34 |