Glaucoma Detection Using SS-QB-VMD-Based Fine Sub-Band Images from Fundus Images

Abstract

Worldwide, glaucoma is a type of eye disease, which causes loss of vision by damaging optic nerves within the eye. Available glaucoma detection techniques are less accurate. This paper proposed a computer-based glaucoma detection using second-stage quasi-bivariate variational mode decomposition (SS-QB-VMD)-based fine sub-band images (SBIs) from fundus images. The preprocessed images are decomposed into five SBIs at the first stage using QB-VMD. The high-frequency fifth SBI obtained using the first stage is further decomposed into five SBIs using QB-VMD at the second stage. At the second stage, the decomposed SBIs are more discriminating than obtained at the first stage. These decomposed SBIs at second stages are fine with no mode mixing problems. These are finer and help to mine more useful detailed information to detect glaucoma more accurately. Texture features are extracted from decomposed SBIs. Extracted texture features are normalized using the z-score method and classified using the support vector machine classifier. The obtained accuracy, sensitivity, specificity, precision, dice value, and Jaccard index value are 92.67%, 91.43%, 93.75%, 94.03%, 91.98%, and 86.1%, for tenfold cross-validation, respectively. The results demonstrated that the proposed method is better compared to the existing methods for same images. It can be used to detect glaucoma more accurately.

KEYWORDS:

• Classification
• Feature extraction and normalization
• Glaucoma
• Preprocessing
• Quasi-bivariate variational mode decomposition

Additional information

Notes on contributors

Bhupendra Singh Kirar

Bhupendra Singh Kirar received BE degree in Electronics and Communication Engineering from Samrat Ashok Technological Institute, Vidisha, India in 2004. He received the MTech and PhD degrees from the Maulana Azad National Institute of Technology, Bhopal, India in 2009 and 2019, respectively. He is presently working as an assistant professor in the Department of Electronics and Communication Engineering, Indian Institute of Information Technology Bhopal, India. He has co-authored a textbook on Basic Electrical & Electronics Engineering, by M/s B S Publications, Hyderabad in the year 2011. He published papers in national and international journals under SCI/Scopus. His research interest includes the area of image processing.

G. Ravi Shankar Reddy

Ravi Shankar Reddy Gosula was born in Andhra Pradesh, India in 1978; he completed the BTech degree with distinction in electronics & communication engineering from Jawaharlal Nehru Technological University Hyderabad (JNTUH) in 2001 and the ME degree in systems and signal processing from the University College of Engineering, Osmania University, Hyderabad, Telangana, India in 2004. He completed his PhD in the Department of ECE, JNTUA, Anantapur. He is presently working as a professor in the ECE Department, CVR College of Engineering, Hyderabad, India. His research interest includes signal processing. Email: [email protected]

Dheeraj Kumar Agrawal

Dheeraj Kumar Agrawal received the BE degree with honors in Electronics and Communication Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2001 and the MTech and PhD degrees in Electronics and Communication Engineering from the Maulana Azad National Institute of Technology, Bhopal, India in 2005 and 2011, respectively. He is an associate professor in the Department of Electronics and Communication Engineering, Maulana Azad National Institute of Technology, Bhopal, India. He is a member of different professional bodies. He received the Young Scientist award of the Madhya Pradesh Council of Science and Technology in the Discipline Engineering Science and Technology in 2011. He served as an investigator for different projects undertaken. He has over 18 years of teaching experience in the field of electronics and communication engineering and, apart from this, he has published many papers in national and international journals under SCI/Scopus. His research interests are image processing and signal processing. Email: [email protected]