Wavelet Texture Descriptor for Steel Surface Defect Classification
Djilani Belila, Belal Khaldi, Oussama Aiadi · 2024
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Description
Djilani Belila, Belal Khaldi, and Oussama Aiadi put forth a wavelet grain tool to sort flaws on the face of steel. Their 2024 study aims at true, fast grade checks that hold down the cost of steel work.
Wavelet steps split a pic into parts at more than one size scale, and catch both broad and fine grain in the pic. Facts and grain traits are drawn from those parts, and then a pick step keeps the traits that split best. Tests ran on two known sets of steel flaw pics used as a yard stick. The new way beat the best known ways on both sets, with right calls past ninety-eight in each hundred in each case. It stayed true with just a small set of taught pics, which fits shops and plants where large sets of tagged pics are hard to get.
Catalog record
| CREATOR | Djilani Belila, Belal Khaldi, Oussama Aiadi |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 49 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |