Wavelet-based energy features for glaucomatous image classification

• Main Authors: Dua, Sumeet, Acharya, U. Rajendra, Chowriappa, Pradeep, Sree, Subbhuraam Vinitha
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Mechanical engineering::Bio-mechatronics
• Online Access: https://hdl.handle.net/10356/102630; http://hdl.handle.net/10220/16461
• Institution: Nanyang Technological University

Texture features within images are actively pursued for accurate and efficient glaucoma classification. Energy distribution over wavelet subbands is applied to find these important texture features. In this paper, we investigate the discriminatory potential of wavelet features obtained from the daub...