Marwan D. Saleh

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Diabetic retinopathy (DR) has become a serious threat in our society, which causes 45% of the legal blindness in diabetes patients. Early detection as well as the periodic screening of DR helps in reducing the progress of this disease and in preventing the subsequent loss of visual capability. This paper provides an automated diagnosis system for DR(More)
This paper focuses on the detection of retinal blood vessels which play a vital role in reducing the proliferative diabetic retinopathy and for preventing the loss of visual capability. The proposed algorithm which takes advantage of the powerful preprocessing techniques such as the contrast enhancement and thresholding offers an automated segmentation(More)
Retinal blood vessel detection and analysis play vital roles in early diagnosis and prevention of several diseases, such as hypertension, diabetes, arteriosclerosis, cardiovascular disease and stroke. This paper presents an automated algorithm for retinal blood vessel segmentation. The proposed algorithm takes advantage of powerful image processing(More)
This paper presents a method for automated optic disc segmentation from color fundus images. The proposed method comprises three major stages, namely optic disc localization, preprocessing and segmentation. Localization is performed using the fast Fourier transform based template matching to obtain a seed point located on the optic disc which is then used(More)
License Plate Recognition (LPR) is a machine vision technology used to identify vehicles by their license plates without direct human intervention. This paper presents an efficient license plate extraction method which is mainly designed for Malaysian license plates recognition. Besides, it can be readily extended to cope with license plates of other(More)
The detection and analysis of spot lesions associated with the retinal diseases, such as exudates, microaneurysms, and hemorrhages, play an important role in the screening of retinal diseases. This paper presents an algorithm for segmentation of automated exudates from color fundus images. The proposed algorithm comprises two major stages, namely,(More)
The result of retinal images from fundus cameras are often provide unclear blood vessel of retinal images. As consequent, the ophthalmologists find it difficult to analyze the retinal images. Fundus images analyses require a longer time to achieve the test result especially for the patient with diabetic retinopathy. The research conducted in this paper(More)
Image enhancement is a useful technique to improve the visual appearance of an image by removing noise, improving contrast of an image, smoothing, sharpening, de-blurring, and edge enhancement. In this paper, various contrast enhancement filters used in license plate recognition are compared.
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