NDLI: Using efficient discriminative algorithm in automated visual inspection of feed

Content Provider	IEEE Xplore Digital Library
Author	Siricharoenchai, R. Sinthupinyo, W.
Copyright Year	2011
Description	Author affiliation: Image Technology Laboratory, National Electronics and Computer Technology Center, Pathumthani, Thailand (Siricharoenchai, R.; Sinthupinyo, W.)
Abstract	A method for classifying the top and the side view of the cylindrical fish-feed pellets is proposed. The top and the side view of cylindrical pellet are circle-like and rectangle-like. The circle-like shape in the top view is not a perfect circle, the circle detection algorithm cannot be effectively applied. In addition, the corner of the feed pellets is not sharp; thus, the corner cannot be detected directly. In this paper, a corner detecting algorithm is applied as follows. Given a point in the pellet's boundary, its left and right line segments (along the boundary) is the line having the given point as the rightmost and the leftmost pixels, respectively. An angle between the left and the right line segments of every edge point is estimated. A corner is detected as the point whose angle is the local maximum. An approximating rectangle is created from four corners having the four highest angles. The top and the side views are classified according to the two features: (1) the fitness of the approximating rectangle to the edge in the image and (2) the mean angle of the four corners in the approximating rectangle. SVM is used as the classifier. In the experiment on 1000 pellets (500 testing, 500 training), our proposed method achieved 95% classification accuracy.
Starting Page	95
Ending Page	99
File Size	1940538
Page Count	5
File Format	PDF
ISBN	9781612844855
e-ISBN	9781612844862
DOI	10.1109/ICCSN.2011.6014857
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	feed inspection corner detection rectangle Feeds circle object discrimination
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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