NDLI: Feature Extraction of Human Viruses Microscopic Images Using Gray Level Co-occurrence Matrix

Content Provider	IEEE Xplore Digital Library
Author	Qing Liu Xiping Liu
Copyright Year	2013
Description	Author affiliation: Sch. of Phys. & Inf. Sci., Tianshui Normal Univ., Tianshui, China (Qing Liu) \|\| Dept. of Basic Med. Sci., Gansu Univ. of TCM, Lanzhou, China (Xiping Liu)
Abstract	With the development of information technology in biomedical signal detection, processing and digital image signal processing, the role of automatic visual recognition becomes more important. In this paper, in order to effectively extract the feature information of human viruses (HV) microscopic images, an algorithm of HV microscopic image feature extraction and recognition using gray level co-occurrence matrix (GLCM) is proposed. Firstly, 20 pieces of microscopic images of human virus are obtained by using GLCM, and then the four texture feature parameters, entropy, energy, inertia moment and correlation are extracted utilizing the GLCM, and then HV image recognition is carried out. The experimental results show that the GLCM and extraction of image texture features can effectively identify the HV image, which can bring significance to the modern recognition and identification of HV.
Sponsorship	IEEE Wuhan Sect.
Starting Page	619
Ending Page	622
File Size	259735
Page Count	4
File Format	PDF
ISBN	9780769551258
DOI	10.1109/CSA.2013.149
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image texture Image recognition Correlation Microscopy Feature extraction Entropy Human viruses microscopic images Viruses (medical) GLCM
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
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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