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Gradient based adaptive thresholding

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Main Authors: Haniza, Yazid, Dr., Hamzah, Arof, Dr.
Other Authors: haniza.yazid@gmail.com
Format: Article
Language:English
Published: Elsevier Ltd. 2014
Subjects:
Adaptive thresholding
Binarization
Diabetic retinopathy
Exudate detection
Gradient based thresholding
Handwritten document images
Image segmentation
Medical image analysis
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34190
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spelling my.unimap-341902017-11-29T04:09:07Z Gradient based adaptive thresholding Haniza, Yazid, Dr. Hamzah, Arof, Dr. haniza.yazid@gmail.com Adaptive thresholding Binarization Diabetic retinopathy Exudate detection Gradient based thresholding Handwritten document images Image segmentation Medical image analysis Link to publisher's homepage at http://www.sciencedirect.com/ For images with poor and non-uniform illumination, adaptive thresholding is required to separate the objects of interest from the background. In this paper a new approach to create an adaptive threshold surface is proposed to segment an image. The technique is inspired by the Yanowitz's method and is improved upon by the introduction of a simpler and more accurate threshold surface. The method is tested on several images of different patterns with varying illumination and the results are compared to the ones produced by a number of adaptive thresholding algorithms. In order to demonstrate the effectiveness, the proposed method had been implemented in medical and document images. The proposed method compares favorably against those using watershed and morphology in medical image and favorably against variable threshold and adaptive Otsu's N-thresholding for document image. 2014-04-30T04:43:27Z 2014-04-30T04:43:27Z 2013 Article Journal of Visual Communication and Image Representation, vol. 24(7), 2013, pages 926-936 1047-3203 http://www.sciencedirect.com/science/article/pii/S1047320313001144 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34190 http://dx.doi.org/10.1016/j.jvcir.2013.06.001 en Elsevier Ltd.
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Adaptive thresholding
Binarization
Diabetic retinopathy
Exudate detection
Gradient based thresholding
Handwritten document images
Image segmentation
Medical image analysis
spellingShingle Adaptive thresholding
Binarization
Diabetic retinopathy
Exudate detection
Gradient based thresholding
Handwritten document images
Image segmentation
Medical image analysis
Haniza, Yazid, Dr.
Hamzah, Arof, Dr.
Gradient based adaptive thresholding
description Link to publisher's homepage at http://www.sciencedirect.com/
author2 haniza.yazid@gmail.com
author_facet haniza.yazid@gmail.com
Haniza, Yazid, Dr.
Hamzah, Arof, Dr.
format Article
author Haniza, Yazid, Dr.
Hamzah, Arof, Dr.
author_sort Haniza, Yazid, Dr.
title Gradient based adaptive thresholding
title_short Gradient based adaptive thresholding
title_full Gradient based adaptive thresholding
title_fullStr Gradient based adaptive thresholding
title_full_unstemmed Gradient based adaptive thresholding
title_sort gradient based adaptive thresholding
publisher Elsevier Ltd.
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/34190
_version_ 1643802753491795968
score 13.160551

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