DocumentCode :
3582494
Title :
A review: Comparison between different type of filtering methods on the contrast variation retinal images
Author :
Mustafa, Wan Azani ; Yazid, Haniza ; Bin Yaacob, Sazali
Author_Institution :
Sch. of Mechatron., Univ. Malaysia Perlis, Arau, Malaysia
fYear :
2014
Firstpage :
542
Lastpage :
546
Abstract :
Retinal images are obtained using a fundus camera in order to evaluate many important diseases such as Diabetic Retinopathy and Glaucoma. Sometimes, the images appear as uniformly illuminated, have luminosity and contrast variability. This problem can be severely compromised the diagnostic process and the results, especially if automated computer-based procedure is used to derive the parameters of diagnostic. Many researchers propose different approaches to normalize the badly illuminated images based on filtering techniques. In this paper, we compare a six (6) type of filtering techniques and applied to the retinal images from Digital Retinal Images for Vessel Extraction (DRIVE) database to adjust the contrast variation and illumination in order to produce a better diagnostic result. The result performance is evaluate based on Signal Noise Ratio (SNR) and Mean Square Error (MSE) is compared to the other filtering methods. From the result, the Homomorphic filtering based on high pass filter obtained higher SNR value which is 3.093 and the lowest in MSE which is 71267.51.
Keywords :
cameras; diseases; eye; high-pass filters; image filtering; lighting; mean square error methods; medical image processing; visual databases; DRIVE database; Digital Retinal Images for Vessel Extraction database; MSE; SNR; automated computer-based procedure; contrast variation retinal images; diagnostic process; diseases; filtering method; fundus camera; high pass filter; homomorphic filtering; illumination; mean square error; signal noise ratio; Contrast; Filter; Homomorphic; Illumination;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-5685-2
Type :
conf
DOI :
10.1109/ICCSCE.2014.7072777
Filename :
7072777
Link To Document :
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