Norharyati Md Ariff

Norharyati Md Ariff
Universiti Teknologi MARA | UiTM · Faculty of Computer and Mathematical Sciences

MS student (UiTM), BSc (UiTM), Dip (UiTM)

About

7
Publications
4,727
Reads
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103
Citations
Citations since 2016
1 Research Item
90 Citations
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Publications

Publications (7)
Article
Full-text available
Evolutionary algorithm is one of the algorithms inspired by the nature. Within little more than a decade hundreds of papers have reported successful applications of EAs. In this paper, the Selfish Gene Algorithms (SFGA), as one of the latest evolutionary algorithms (EAs) inspired from the Selfish Gene Theory which is an interpretation of Darwinian...
Conference Paper
Full-text available
The research proposes a selfish gene image segmentation algorithm as an alternative to Genetic Algorithm. Research in Genetic Algorithms originated from Darwin’s theory faced the problem of finding the optimal solution due to its inherent characteristic of genetic drift and premature convergence. Selfish gene views genes as the basic unit in evolut...
Conference Paper
Full-text available
Background: The advancement of modern and scientific technology has led to dataset growing in both size and complexity, exposing the need for more efficient and effective way of visualizing and analyzing data. Current software architecture, management and analysis approaches are unable to cope with the flood of data Problem: Despites, the amount o...
Article
Full-text available
Abstract This paper proposed the deployment of dilation and erosion with Fuzzy c-Means (FCM) as an effective optic cup and disc segmentation. The cheapest way to monitor glaucoma disease is using digital fundus camera. These images are stored in RGB format which can be split into red, green and blue channels. Previous work has identified green chan...
Conference Paper
Cup to disc ratio (CDR) is very important indicators in glaucoma detection. This paper proposes a method for glaucoma detection using digital fundus images with color multi-thresholding segmentation. The objective of this paper is to segment the optic cup and optic disc using color multi-thresholding segmentation and extracted feature such as cup t...
Conference Paper
Full-text available
Glaucoma diagnosis involves extracting three features of the fundus image; optic cup, optic disc and vernacular. Present manual diagnosis is expensive, tedious and time consuming. A number of researches have been conducted to automate this process. However, the variability between the diagnostic capability of an automated system and ophthalmologist...
Conference Paper
Full-text available
This paper reviews 80 out of 130 bio-inspired Algorithm (BIAs) researches published in google scholar and IEEExplore between the periods of 1995 to 2010 used to solve image processing problems. BIAs has been successfully applied in many sciences, medical and engineering fields. The evolving, dynamic and meta-heuristics nature of BIAs makes it more...

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