Wavelet-based energy features for glaucomatous image classification

• المؤلفون الرئيسيون: Dua, Sumeet, Acharya, U. Rajendra, Chowriappa, Pradeep, Sree, Subbhuraam Vinitha
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Mechanical engineering::Bio-mechatronics
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/102630; http://hdl.handle.net/10220/16461

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...