NDLI: Worm egg segmentation based centroid detection in low contrast image

Content Provider	IEEE Xplore Digital Library
Author	Kiratiratanapruk, K. Sinthupinyo, W.
Copyright Year	2012
Description	Author affiliation: National Electronics and Computer Technology Center, National Science and Technology Development Agency, Pathumthani, Thailand (Kiratiratanapruk, K.; Sinthupinyo, W.)
Abstract	In this paper, we propose silkworm eggs image segmentation technique based on centroid detection in low contrast image. The objective of this work is to identify individual objects from clustered objects for quantity evaluation. The technique can be divided into three parts, The first part is to separate foreground edge of worm egg image from its background. The second part is to convert the foreground binary edge image to reconstruct gray scale image. In this process, a circular weight mask which has the same size of a worm egg object is created and applied to the binary edge image. Shade color that obtained from the gray image result will describe different region between egg's object centroid and its boundary. In the last part, an iterative thresholding operation together with several criteria such as object size and distance is applied to the gray shade image to determine centroid positions in clustered worm egg objects. The last two part is the main idea of this paper which demonstrates a simply way to solve a problem of how to detect touching objects that has slightly color different between foreground and background. In experimental result, the accuracy rate is 87.9% obtained from 8558 object number.
Starting Page	1139
Ending Page	1143
File Size	977215
Page Count	5
File Format	PDF
ISBN	9781467311564
e-ISBN	9781467311571
e-ISBN	9781467311557
DOI	10.1109/ISCIT.2012.6380864
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-02
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis image processing cluster centroid detection low contrast image Image edge detection touching Gray-scale round object Grippers Image segmentation Accuracy Image color analysis segmentation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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