Glaucoma Detection from Retinal Images Using Statistical and Textural Wavelet Features
نویسندگان
چکیده
منابع مشابه
Mass lesion detection in mammographic images using Haralik textural features
Istituto Nazionale di Fisica Nucleare (INFN)-Bari, Italy Universitá and INFN di Bari, and Center of Innovative Technologies for Signal Detection and Processing, Italy Dipartimento di Fisica, Università di Siena and INFN-Cagliari, Italy Struttura Dipartimentale di Matematica e Fisica, Università di Sassari and INFN-Cagliari, Italy Istituto Nazionale di Fisica Nucleare-Torino, Italy Dipartimento ...
متن کاملWavelet Based Segmentation Using Optimal Statistical Features on Breast Images
Elastography is the emerging imaging modality that analyzes the stiffness of the tissue for detecting and classifying breast tumors. Computer-aided detection speeds up the diagnostic process of breast cancer improving the survival rate. A multiresolution approach using Discrete wavelet transform is employed on real time images, using the low-low (LL), low-high (LH), high-low (HL), and high-high...
متن کاملStatistical Textural Distinctiveness for Salient Region Detection in Natural Images
A novel statistical textural distinctiveness approach for robustly detecting salient regions in natural images is proposed. Rotational-invariant neighborhood-based textural representations are extracted and used to learn a set of representative texture atoms for defining a sparse texture model for the image. Based on the learnt sparse texture model, a weighted graphical model is constructed to ...
متن کاملAutomatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review
Glaucoma is a group of eye diseases that have common traits such as, high eye pressure, damage to the Optic Nerve Head and gradual vision loss. It affects peripheral vision and eventually leads to blindness if left untreated. The current common methods of pre-diagnosis of Glaucoma include measurement of Intra-Ocular Pressure (IOP) using Tonometer, Pachymetry, Gonioscopy; which are performed man...
متن کاملA Statistical-Textural-Features Based Approach for Classification of Solid Drugs Using Surface Microscopic Images
The quality of pharmaceutical products plays an important role in pharmaceutical industry as well as in our lives. Usage of defective tablets can be harmful for patients. In this research we proposed a nondestructive method to identify defective and nondefective tablets using their surface morphology. Three different environmental factors temperature, humidity and moisture are analyzed to evalu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Digital Imaging
سال: 2019
ISSN: 0897-1889,1618-727X
DOI: 10.1007/s10278-019-00189-0