Abstract:
This paper describes how to construct a probability map using sparse representation and dictionary learning to indicate the probability of each optic disk pixel of belong...Show MoreMetadata
Abstract:
This paper describes how to construct a probability map using sparse representation and dictionary learning to indicate the probability of each optic disk pixel of belonging to the optic cup. This probability map will be used in the future as input to a method for automatically detecting glaucoma from color fundus images. The probability map was obtained constructing a model (using the Bayes classifier) which takes into account texture information, by means of sparse representation and RLS-DLA dictionary learning technique, and intensity information. Several experiments on a private database are presented in this work. The results are compared with the segmentation made by specialists, highlighting the promising performance of this technique in difficult cases where the optic cup is barely visible.
Date of Conference: 29 August 2016 - 02 September 2016
Date Added to IEEE Xplore: 01 December 2016
ISBN Information:
Electronic ISSN: 2076-1465
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- IEEE Keywords
- Index Terms
- Representation Learning ,
- Sparse Representation ,
- Dictionary Learning ,
- Sparse Learning ,
- Optic Cup ,
- Sparse Dictionary ,
- Sparse Dictionary Learning ,
- Sparse Representation Learning ,
- Probability Function ,
- Optic Nerve Head ,
- Intensity Information ,
- Probability Of Pixel ,
- Color Fundus Images ,
- Training Set ,
- Classification Model ,
- Low-pass ,
- Input Image ,
- Optic Nerve ,
- Cup-to-disc Ratio ,
- Optic Disc Area ,
- Training Vectors ,
- Extract Texture ,
- Representation Error ,
- Intensity Features ,
- Training Images ,
- Pixel Position ,
- Block Size
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Representation Learning ,
- Sparse Representation ,
- Dictionary Learning ,
- Sparse Learning ,
- Optic Cup ,
- Sparse Dictionary ,
- Sparse Dictionary Learning ,
- Sparse Representation Learning ,
- Probability Function ,
- Optic Nerve Head ,
- Intensity Information ,
- Probability Of Pixel ,
- Color Fundus Images ,
- Training Set ,
- Classification Model ,
- Low-pass ,
- Input Image ,
- Optic Nerve ,
- Cup-to-disc Ratio ,
- Optic Disc Area ,
- Training Vectors ,
- Extract Texture ,
- Representation Error ,
- Intensity Features ,
- Training Images ,
- Pixel Position ,
- Block Size