DocumentCode :
584788
Title :
Computer Vision system for cashew kernel area estimation
Author :
Narendra, V.G. ; Shetty, Dasharathraj K. ; Hareesh, K.S.
Author_Institution :
Dept. of Comput. Sci. & Eng., Manipal Inst. of Technol., Manipal, India
fYear :
2012
fDate :
26-28 July 2012
Firstpage :
1
Lastpage :
6
Abstract :
Carrying out Food and Agricultural product Quality Inspection manually is a laborious task. Maintaining consistent product quality is not possible due to human errors. Customer expectations are increasing day by day and seek products of high quality. However, in India the Inspection of Food and Agricultural produce is done manually in most of the cases. Work in the Computer Vision area is being extensively carried out these days to provide automated, non-destructive and cost-effective techniques to achieve this. Computer Vision uses Image processing as one of the intermediary tools to achieve the ultimate objective. Cashew is one of the important commercial crops of India. The objective of this research is to provide an image processing method for measuring cashew kernel Size (i.e. length and width/height) with an accurate and smallest relative error.
Keywords :
automatic optical inspection; computer vision; crops; food products; human factors; nondestructive testing; product quality; production engineering computing; size measurement; India; agricultural product quality inspection; cashew kernel area estimation; cashew kernel size measurement; commercial crops; computer vision system; cost-effective techniques; customer expectations; food product quality inspection; human errors; image processing method; nondestructive techniques; Estimation; Heating; Humans; Kernel; Manuals; Shape; Computer Vision; Food and Agricultural Products; Image Analysis; Image processing; Quality Inspection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on
Conference_Location :
Coimbatore
Type :
conf
DOI :
10.1109/ICCCNT.2012.6395942
Filename :
6395942
Link To Document :
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