DocumentCode :
2771376
Title :
Quality Evaluation of Hydrothermal Treated Quicker Cooking Scented Rice by Quantification of Quickness of Cooking Time and Mechanical Strength Using Machine Vision
Author :
Modi, Chintan K. ; Jain, Kavindra R.
Author_Institution :
EC Dept., G.H. Patel Coll. of Eng. & Technol., Nagar, India
fYear :
2011
fDate :
7-9 Oct. 2011
Firstpage :
639
Lastpage :
643
Abstract :
Rice (Oryza sativa L.) together with wheat and maize is one of the most important cereal crops of the world. Hydrothermal treatment is used to be given to the scented rice to produce quicker cooking rice. The quickness in terms of time for cooking for scented cooked rice is then evaluated on the basis of fissures so produced in the form of rings using microscope. In this paper we are proposing a machine vision system and a novel technique for quality evaluation of Hydrothermal treated quicker cooking scented rice by quantification of quickness of cooking time and mechanical strength evaluation based on image processing techniques.
Keywords :
computer vision; crops; food processing industry; heat treatment; mechanical strength; quality assurance; cereal crops; cooking time; fissures; hydrothermal treated quicker cooking scented rice; image processing techniques; machine vision system; mechanical strength; quality evaluation; quickness quantification; Image edge detection; Kernel; Machine vision; Materials; Shape; Vectors; Hydrothermal Treatment; Machine Vision; Quality evaluation; Quicker Cooking Scented Rice;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4577-2033-8
Type :
conf
DOI :
10.1109/CICN.2011.139
Filename :
6112948
Link To Document :
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