Name
Abstract | ||
|---|---|---|
An Intelligent Perception System (IPS) is presented which makes full-rate automated inspection of chicken meat feasible. It analyzes RGB images representing the chickens after they have been washed and plucked and detects defects such as burns, hematomas and blisters, together with other relevant features. First the chicken is extracted from the background and it is segmented into its anatomic parts. Then, defective areas are identified by means of morphological reconstruction. Finally, defects are classified by comparing their features against the defect description contained in a reference database. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1007/3-540-60298-4_342 | ICIAP |
Keywords | Field | DocType |
automatic inspection,vision system,meat quality | Perception system,Computer vision,Pattern recognition,Machine vision,Reference database,Computer science,Artificial intelligence,RGB color model | Conference |
ISBN | Citations | PageRank |
3-540-60298-4 | 1 | 0.37 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mauro Barni | 1 | 45 | 2.35 |
| Vito Cappellini | 2 | 521 | 64.85 |
| Alessandro Mecocci | 3 | 60 | 14.38 |