Lossless compression of regions-of-interest from retinal images
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | EUVIP 2014 - 5th European Workshop on Visual Information Processing |
| Publisher | The Institute of Electrical and Electronics Engineers, Inc. |
| ISBN (Print) | 9781479945726 |
| DOIs | |
| Publication status | Published - 22 Jan 2015 |
| Publication type | A4 Article in a conference publication |
| Event | European Workshop on Visual Information Processing - Duration: 1 Jan 1900 → … |
Conference
| Conference | European Workshop on Visual Information Processing |
|---|---|
| Period | 1/01/00 → … |
Abstract
This paper presents a lossless compression method performing separately the compression of the vessels and of the remaining part of eye fundus in retinal images. Retinal images contain valuable information sources for several distinct medical diagnosis tasks, where the features of interest can be e.g. the cotton wool spots in the eye fundus, or the volume of the vessels over concentric circular regions. It is assumed that one of the existent segmentation methods provided the segmentation of the vessels. The proposed compression method transmits losslessly the segmentation image, and then transmits the eye fundus part, or the vessels image, or both, conditional on the vessels segmentation. The independent compression of the two color image segments is performed using a sparse predictive method. Experiments are provided over a database of retinal images containing manual and estimated segmentations. The codelength of encoding the overall image, including the segmentation and the image segments, proves to be better than the codelength for the entire image obtained by JPEG2000 and other publicly available compressors.
ASJC Scopus subject areas
Keywords
- lossless compression, region of interest, retinal images, sparse prediction