NDLI: Image thresholding based on edge information analysis

Content Provider	IEEE Xplore Digital Library
Author	Ming Zeng Tiemao Han Qinghao Meng Zhengbiao Bai Zhengcun Liu
Copyright Year	2012
Description	Author affiliation: Institute of Robotics and Autonomous Systems, School of Electrical Engineering and Automation, Tianjin University, China 300072 (Ming Zeng; Tiemao Han; Qinghao Meng; Zhengbiao Bai; Zhengcun Liu)
Abstract	Binarization (i.e., image thresholding) is widely used as a preprocess algorithm in image analysis and understanding. In this paper, a novel image thresholding method is proposed, which is characterized by its simple procedure and strong ability of preserving detailed information. The proposed technique includes three steps. Firstly, the edges of an image are detected using the Canny method. Secondly, the gray-level transition range of each edge point (i.e., the maximum and minimum intensity value in a 3*3 block surrounding the current edge point) is calculated and then a new histogram of cumulative edge gray-level transition range is obtained. Finally, the peak of the new histogram is set as the optimal threshold for image binarization. Experimental results show that the proposed algorithm is substantially more robust and more reliable than the classic Otsu method.
Starting Page	1371
Ending Page	1375
File Size	563243
Page Count	5
File Format	PDF
ISBN	9781467309653
e-ISBN	9781467309646
DOI	10.1109/CISP.2012.6469984
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	histogram image edge Histograms gray-level transition range image thresholding Image edge detection Educational institutions Robustness Entropy Pattern recognition Cybernetics
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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