6533b7d8fe1ef96bd126a3b5
RESEARCH PRODUCT
Location and characterization of the stem-calyx area on oranges by computer vision
Enrique MoltóFlorentino JusteFiliberto PlaR. ValienteLuis A. Ruizsubject
business.industrySegmentationComputer visionRangingArtificial intelligenceAquatic ScienceCurvature analysisbusinessLinear discriminant analysisAnalysis methodCalyxMathematicsCitrus fruitdescription
Three image analysis methods were studied and evaluated to solve the problem of removing long stems attached to mechanically harvested oranges: colour segmentation based on linear discriminant analysis, contour curvature analysis, and a thinning process which involves iterating until the stem becomes a skeleton. These techniques are able to determine the presence or absence of a stem with certainty, to locate the stems from random views with more than 90% accuracy and from profile images with an accuracy ranging from 92.4% to 100% depending on the method used. Finally, determination of the length and cutting point of the stem is achieved with only 3.8% of failures. (C) 1996 Silsoe Research Institute
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1996-07-01 |