Otsu thresholding method based on projection of cross section for image segmentation

Due to the disadvantages existing in the conventional three-dimensional Otsu (3D Otsu) method, such as poor anti-noise capability, high computational complexity and difficulty to extend to multilevel thresholding, a new Otsu thresholding method based on projection of cross section was proposed. A pl...

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Main Authors: Chao-dong FAN, Hong-lin OUYANG, Le-yi XIAO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-05-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.010/
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author Chao-dong FAN
Hong-lin OUYANG
Le-yi XIAO
author_facet Chao-dong FAN
Hong-lin OUYANG
Le-yi XIAO
author_sort Chao-dong FAN
collection DOAJ
description Due to the disadvantages existing in the conventional three-dimensional Otsu (3D Otsu) method, such as poor anti-noise capability, high computational complexity and difficulty to extend to multilevel thresholding, a new Otsu thresholding method based on projection of cross section was proposed. A plane perpendicular to the main diagonal is used to cross the 3D histogram. Then the projections to the main diagonal from the points in the cross section, are used to establish a new histogram. Based on the histogram, the image can be segmented by 1D Otsu. In order to further enhance the anti-noise capability, the post-processing strategy based on threshold is applied to the processed image. The experi-mental result shows that this method has significant improvements in computational efficiency and anti-noise capability, and can segment the images corrupted with different noises well.
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institution DOAJ
issn 1000-436X
language zho
publishDate 2014-05-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-bd891796c00d435292b5e0dd848ab9ae2025-08-20T02:41:14ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-05-0135707859681420Otsu thresholding method based on projection of cross section for image segmentationChao-dong FANHong-lin OUYANGLe-yi XIAODue to the disadvantages existing in the conventional three-dimensional Otsu (3D Otsu) method, such as poor anti-noise capability, high computational complexity and difficulty to extend to multilevel thresholding, a new Otsu thresholding method based on projection of cross section was proposed. A plane perpendicular to the main diagonal is used to cross the 3D histogram. Then the projections to the main diagonal from the points in the cross section, are used to establish a new histogram. Based on the histogram, the image can be segmented by 1D Otsu. In order to further enhance the anti-noise capability, the post-processing strategy based on threshold is applied to the processed image. The experi-mental result shows that this method has significant improvements in computational efficiency and anti-noise capability, and can segment the images corrupted with different noises well.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.010/image segmentationthreshold selectionmaximum between-class variance3D Otsu's methodpost-proc-essing strategy
spellingShingle Chao-dong FAN
Hong-lin OUYANG
Le-yi XIAO
Otsu thresholding method based on projection of cross section for image segmentation
Tongxin xuebao
image segmentation
threshold selection
maximum between-class variance
3D Otsu's method
post-proc-essing strategy
title Otsu thresholding method based on projection of cross section for image segmentation
title_full Otsu thresholding method based on projection of cross section for image segmentation
title_fullStr Otsu thresholding method based on projection of cross section for image segmentation
title_full_unstemmed Otsu thresholding method based on projection of cross section for image segmentation
title_short Otsu thresholding method based on projection of cross section for image segmentation
title_sort otsu thresholding method based on projection of cross section for image segmentation
topic image segmentation
threshold selection
maximum between-class variance
3D Otsu's method
post-proc-essing strategy
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.010/
work_keys_str_mv AT chaodongfan otsuthresholdingmethodbasedonprojectionofcrosssectionforimagesegmentation
AT honglinouyang otsuthresholdingmethodbasedonprojectionofcrosssectionforimagesegmentation
AT leyixiao otsuthresholdingmethodbasedonprojectionofcrosssectionforimagesegmentation