Title :
Detection, extraction and quantitative measurement of atrophic regions on retinal surface in color fundus images
Author :
Poshtyar, Azin ; Aghamiri, S. ; Ghassabi, Z. ; Shanbehzadeh, Jamshid
Author_Institution :
Ophthalmology Subspecialty Center, Iran Red Crescent, Tehran, Iran
Abstract :
The problem of automatic detection and extraction of pathological images still remains an unsolved problem. The aim of this paper is to develop an automatic method for the detection, extraction and quantitative analysis of atrophic regions that occurred on retinal surface in retinal diseases. Its automatic quantification is important for determining disease progression and helpful for clinical diagnosis of disease. The paper utilized an adaptive threshold for various regions of color fundus image which determined simply by different blocking models. The algorithm is computationally efficient and fast. Quantitative evaluation experiments on 300 color fundus images show a mean sensitivity/specificity of 98.7/96.6 % for our approach.
Keywords :
diseases; eye; feature extraction; image colour analysis; image segmentation; medical image processing; object detection; adaptive threshold; atrophic region detection method; atrophic region extraction method; atrophic region quantitative measurement; automatic pathological image detection; automatic pathological image extraction; automatic quantification; blocking model; clinical disease diagnosis; color fundus images; disease progression; mean sensitivity; retinal diseases; retinal surface; Algorithm design and analysis; Atrophy; Diseases; Image color analysis; Image segmentation; Retina; Sensitivity; Atrophic Region; Color Fundus Images; Detection; Quantitative Measurement; Retinal Diseases;
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-0965-3
DOI :
10.1109/CISP.2012.6470030
