Optic Disc Localization Based on Feature Sorting
Journal Title: Memoirs of the Scientific Sections - Year 2016, Vol 0, Issue
Abstract
Localization of the optic disc (OD) is a necessary step in automatic diagnosis of ocular diseases in retinal images: diabetic retinopathy, glaucoma and so on. In this paper, we combine different features and classification schemes to increase the performance of OD detection and localization. To this end, we propose a simple image processing algorithm based on adaptive local texture analysis considering different features, such as those extracted from the co-occurrence matrix, the fractal dimension and blood density. The selection of features is made in the learning phase, taking into account their relevance and non-redundancy. Retina images are decomposed in patches using the sliding box method. The presence of regions with different intensities and noise requires preprocessing operations. For OD recognition, a method which combines a voting scheme with a sorting procedure is applied. In the experiments, 100 images from the publicly available STARE dataset were used.
Authors and Affiliations
Loretta Ichim, Dan Popescu
Study on Poly(Vinyl Alcohol) CopolymersBiodegradation
In the study the biodegradability of some poly(vinyl alcohol)-g-aspartic acid copolymers was investigated, using Trichotecium roseum fungus. The biodegraded samples were examined after established days of inoculation (3–...
The Late Mediaeval Necropolis of Lăpuşna (Hânceşti County, Republic of Moldova). Preliminary Anthropological Results
The osteological material was exhumed in 2013 by archaeologists from the Archaeology Department of the Cultural Heritage Institute of the Academy of Science of Moldova, in the mediaeval necropolis of Lăpuşna (Hânceşti Co...
In Memoriam LOTFI A. ZADEH
The paper entitled In Memoriam Lofti A. Zadeh synthesizes the main scientific achievements of a great man-of-science – system theorist, computer scientist, physicist and engineer - the author of several key notions, such...
On the Anisotropy of Images. A Brief Note
Many physical systems, known as highly dependent on direction, are called anisotropic. Anisotropy is characterized by different properties, measured along each axis in different directions. For understanding physical phe...
Brain Tumor Segmentation Based on Random Forest
In this article we present a discriminative model for tumor detection from multimodal MR images. The main part of the model is built around the random forest (RF) classifier. We created an optimization algorithm able to...