Title :
Grape Detection By Image Processing
Author :
Chamelat, R. ; Rosso, E. ; Choksuriwong, A. ; Rosenberger, C. ; Laurent, H. ; Bro, P.
Author_Institution :
ENSI de Bourges
Abstract :
We propose in this paper a new method for grape detection in outdoor images. Zernike moments are used for the description of the grapes shapes. Color information is also exploited. A support vector machine is used for the learning and recognition steps. This method is tested on real images with different grabbing conditions by using a manually made ground truth. The proposed method permits the recognition of grapes in 99% cases with very few samples used in the learning step
Keywords :
Zernike polynomials; image colour analysis; image recognition; support vector machines; Zernike moments; color information; grape detection; image processing; outdoor images; support vector machine; Color; Humans; Image processing; Machine learning; Pipelines; Quality control; Robot vision systems; Robotics and automation; Shape; Support vector machines;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.347704
