DocumentCode :
3400591
Title :
Paddy grade and dirt classification using image processing techniques
Author :
SenthilRajan, A.
Author_Institution :
Comput. Centre, Alagappa Univ., Karaikudi, India
fYear :
2013
fDate :
10-11 Oct. 2013
Firstpage :
1
Lastpage :
3
Abstract :
Recently digital image processing techniques has been widely used in various applications of computer vision. A variety of other techniques are now being used in many application areas such as object classification, robotics, biometric system, image enhancement, image restoration and human interface. This paper introduces paddy grade classification and dirt inspection system using combination of image processing techniques [1]. This work mainly focuses on the development of the grading system for paddy classification. Paddy grade classification algorithm and dirt classification algorithm [2] has achieved a classification accuracy between 80% and 90% and the system was also able to determine the cleanliness or dirtiness of paddy.
Keywords :
automatic optical inspection; computer vision; crops; hygiene; image classification; production engineering computing; computer vision; digital image processing techniques; dirt inspection system; grading system development; image processing techniques; paddy cleanliness estimation; paddy dirt classification algorithm; paddy dirtiness estimation; paddy grade classification algorithm; Classification algorithms; Educational institutions; Filtering algorithms; Gray-scale; Inspection; Noise; classification; dirtiness; grade; image processing; paddy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Communication, Control, Signal Processing & Computing Applications (C2SPCA), 2013 International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4799-1082-3
Type :
conf
DOI :
10.1109/C2SPCA.2013.6749462
Filename :
6749462
Link To Document :
بازگشت