Global-Local Contrast Enhancement

SomorjeetSingh, S.; Singh, Th. Tangkeshwar; Singh, Neeraj; Devi, H. Mamata

doi:10.5120/8600-2365

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…It improves image quality and is used for better feature extraction. It consists of 2 main steps: filtering and contrast enhancement 5 …”

Section: Methodsmentioning

confidence: 99%

A Computer-Aided Diagnoses Program for Leukemia Detection Using Blood Samples

Aof¹,

Awad²,

Omer³

et al. 2022

J Clin Eng

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During the last decades, the number of people given a diagnosis of leukemia had increased significantly. This article aims to automate detection from peripheral blood based on artificial vision methods for more speed and accuracy. The proposed method is applied to data sets from different sources to achieve diversity, which was not pursued before. This required implementation of noise removal, enhancing, and segmentation techniques on the images by applying linear scaling filter, global-local contrast enhancement, and marker-controlled watershed and K-means clustering for each step, respectively. One hundred three features of texture, shape, and color were extracted from cell, nucleus, and cytoplasm subimages, followed by a reduction to 50 most relevant features. The support vector machine model was trained seeking a suitable accuracy to be used in practical experiments. Here, we achieved an accuracy of 91.0256% by implementing the steps previously mentioned in a MATLAB executable program. The software detected leukemia in 5 of 6 images from a new data set, which indicates the usefulness of this approach despite the variation in images.

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“…It improves image quality and is used for better feature extraction. It consists of 2 main steps: filtering and contrast enhancement 5 …”

Section: Methodsmentioning

confidence: 99%

A Computer-Aided Diagnoses Program for Leukemia Detection Using Blood Samples

Aof¹,

Awad²,

Omer³

et al. 2022

J Clin Eng

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Bayesian Estimation of Global and Local Variances for Improved Perceptual Quality of Fused Medical Images

Alenezi

2020

2020 International Conference on Intelligent Engineering and Management (ICIEM)

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A Global-Local Contrast based Image Enhancement Technique based on Local Standard Deviation

Singh¹,

kumar²

2014

IJCA

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Contrast Enhancement plays an important role in digital image processing. It enables the human and automated perceiver to find out the less obvious information in the original image. Global Contrast Enhancement techniques are used in a wide range of applications to enhance the quality of an image. Local contrast enhancement also plays an important role for a detailed visibility of an image. In this paper we tried to enhance the contrast of an image using Global enhancement technique complemented with local image contrast enhancement methods. This paper proposes a method to obtain good contrast image based on its local and global information and by changing the gray values of pixels according to the objective gray scaled image. General TermsImage Processing.

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Global-Local Contrast Enhancement

Cited by 3 publications

References 17 publications

A Computer-Aided Diagnoses Program for Leukemia Detection Using Blood Samples

A Computer-Aided Diagnoses Program for Leukemia Detection Using Blood Samples

Bayesian Estimation of Global and Local Variances for Improved Perceptual Quality of Fused Medical Images

A Global-Local Contrast based Image Enhancement Technique based on Local Standard Deviation

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