New Gamma Correction Method for real time image text extraction

Atitallah, Mohamed Amin Ben; Kachouri, Rostom; Atitallah, Ahmed Ben; Mnif, Hassène

doi:10.1109/ipta.2019.8936103

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…The shape identification of the frontal eye is done by computing texture differentiation and then the curvature is computed. The curvature is computed using an automated process which depends on third degree spline interpolation [34].…”

Section: Corneal Shape Extraction and Curvature Computationmentioning

confidence: 99%

Computerized Detection of Limbal Stem Cell Deficiency from Digital Cornea Images

Mahmoud¹,

Khafga²,

Alharbi³

2022

Computer Systems Science and Engineering

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Limbal Stem Cell Deficiency (LSCD) is an eye disease that can cause corneal opacity and vascularization. In its advanced stage it can lead to a degree of visual impairment. It involves the changing in the semispherical shape of the cornea to a drooping shape to downwards direction. LSCD is hard to be diagnosed at early stages. The color and texture of the cornea surface can provide significant information about the cornea affected by LSCD. Parameters such as shape and texture are very crucial to differentiate normal from LSCD cornea. Although several medical approaches exist, most of them requires complicated procedure and medical devices. Therefore, in this paper, we pursued the development of a LSCD detection technique (LDT) utilizing image processing methods. Early diagnosis of LSCD is very crucial for physicians to arrange for effective treatment. In the proposed technique, we developed a method for LSCD detection utilizing frontal eye images. A dataset of 280 eye images of frontal and lateral LSCD and normal patients were used in this research. First, the cornea region of both frontal and lateral images is segmented, and the geometric features are extracted through the automated active contour model and the spline curve. While the texture features are extracted using the feature selection algorithm. The experimental results exhibited that the combined features of the geometric and texture will exhibit accuracy of 95.95%, sensitivity of 97.91% and specificity of 94.05% with the random forest classifier of n = 40. As a result, this research developed a Limbal stem cell deficiency detection system utilizing features' fusion using image processing techniques for frontal and lateral digital images of the eyes.

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Section: Corneal Shape Extraction and Curvature Computationmentioning

confidence: 99%

Computerized Detection of Limbal Stem Cell Deficiency from Digital Cornea Images

Mahmoud¹,

Khafga²,

Alharbi³

2022

Computer Systems Science and Engineering

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“…Reconfigurable systems use highly flexible computing fabric, usually Field-Programmable Gate Arrays (FPGA). Nowadays, FPGA devices are adopted in a wide spectrum of applications, ranging from consumer electronics to critical systems such as vehicle automation or mobile network base station transceivers [1][2]. Recent works highlight not only how fast they are, but also its reduced cost and better energy efficiency when compared to CPU and GPU counterparts [3].…”

Section: Introductionmentioning

confidence: 99%

Imageamento Sísmico Com Fpga Aplicado a Migração Reversa No Tempo

Oliveira¹,

Bittencourt²,

Matos³

et al. 2019

Blucher Engineering Proceedings

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Resumo: A modelagem de Migração Reversa no Tempo (RTM) é um componente de alto custo computacional dentro do fluxo de trabalho de processamento sísmico, na exploração de petróleo e gás. Os algoritmos RTM exigem a manipulação de uma grande quantidade de dados, levando a degradação do desempenho devido aos acessos a endereços não aninhados. O presente trabalho apresenta uma plataforma de aceleração em FPGA para o cálculo do algoritmo RTM em um ambiente HPC. Resultados experimentais destacam que acelerações de 112x podem ser alcançadas, quando comparadas à execução sequencial do algoritmo em CPU. Quando levado em consideração o consumo de energia, a plataforma proposta apresentou uma redução de 55% em relação à GPU.

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BGR to HSV based Text Extraction from Manuscripts Using Slidebars

Singh

Indu

2021

2021 Asian Conference on Innovation in Technology (ASIANCON)

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New Gamma Correction Method for real time image text extraction

Cited by 3 publications

References 10 publications

Computerized Detection of Limbal Stem Cell Deficiency from Digital Cornea Images

Computerized Detection of Limbal Stem Cell Deficiency from Digital Cornea Images

Imageamento Sísmico Com Fpga Aplicado a Migração Reversa No Tempo

BGR to HSV based Text Extraction from Manuscripts Using Slidebars

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