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Invariant Recognition of Rectangular Biscuits with Fuzzy Moment Descriptors, Flawed Pieces Detection
Pulivarthi Srinivasa Rao, Sheli Sinha Chaudhuri, Romesh Laishram
Pages - 232 - 239     |    Revised - 30-06-2010     |    Published - 10-08-2010
Volume - 4   Issue - 3    |    Publication Date - July 2010  Table of Contents
Fuzzy moment descriptors, Euclidean distance, Flawed biscuits detection
In this paper a new approach for invariant recognition of broken rectangular biscuits is proposed using fuzzy membership-distance products, called fuzzy moment descriptors. The existing methods for recognition of flawed rectangular biscuits are mostly based on Hough transform. However these methods are prone to error due to noise and/or variation in illumination. Fuzzy moment descriptors are less sensitive to noise thus making it an effective approach invariant to the above stray external disturbances. Further, the normalization and sorting of the moment vectors make it a size and rotation invariant recognition process .In earlier studies fuzzy moment descriptors has successfully been applied in image matching problem. In this paper the algorithm is applied in recognition of flawed and non-flawed rectangular biscuits. In general the proposed algorithm has potential applications in industrial quality control.
CITED BY (2)  
1 Das, P. K., Mandhata, S. C., Behera, H. S., & Patro, S. N. (2012). Visual Perception based Motion Planning of Mobile Robot using Road Sign. International Journal of Computer Applications, 48(15), 4-9.
2 Parikh, P., Mehta, P., & Modi, C. K. (2011, June). Non-destructive Quality Evaluation of Chocolate Chip Cookies. In Communication Systems and Network Technologies (CSNT), 2011 International Conference on (pp. 694-698). IEEE.
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Mr. Pulivarthi Srinivasa Rao
- India
Mr. Sheli Sinha Chaudhuri
- India
Mr. Romesh Laishram