Title :
Classification and mass measurement of nuts using X-Ray images
Author :
Coker, M. ; Akgul, Yusuf Sinan
Author_Institution :
Dept. of Comput. Eng., Gebze Inst. of Technol., Gebze, Turkey
Abstract :
The current practices for the agricultural inspection of the nuts do not produce satisfactory results. It is argued that the quality standards in this field can be greatly improved by using quantitative data. This paper proposes using X-Ray images of nuts for the objective assessment of the fruit mass and quality. X-Ray images produce data that indicates the density of the nuts which is valuable in this assessment. This data is used with a set of novel computer vision methods for the classification and the mass measurement of nuts. The experiments performed on the data indicate good performance of the results and usability of the proposed system in the real life.
Keywords :
X-ray imaging; agricultural products; automatic optical inspection; computer vision; image classification; mass measurement; X-ray image; agricultural inspection; computer vision; mass measurement; nuts classifcation; objective fruit mass assessment; quality assessment; quality standards; Computer vision; Computers; Decision trees; Inspection; Standards; Usability; X-ray imaging; Nuts; X-ray; classification; decision tree; mass measurement; regression;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531359
