Image Segmentation Based on New Modification on Normalized-Cut Algorithm

In this research, Normalized Cut algorithm was studied to segments any type of digital images which was widely used recently. In this paper <span style="text-decoration: underline;">wavelet transformation</span>, and high-high frequency components which hold the edges of the im...

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Main Author: Khalil Alsaif
Format: Article
Language:English
Published: Mosul University 2010-12-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_163907_5d5690e87bae9cf26b55729a78ee399e.pdf
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author Khalil Alsaif
author_facet Khalil Alsaif
author_sort Khalil Alsaif
collection DOAJ
description In this research, Normalized Cut algorithm was studied to segments any type of digital images which was widely used recently. In this paper <span style="text-decoration: underline;">wavelet transformation</span>, and high-high frequency components which hold the edges of the image will be used to replace classical high frequency filters of  the old techniques achieved by the normalized cut algorithm ( which  used CANNY filter for edge detection).           When the new modification of the  proposed algorithm applied on the different type of digital images (medical, aerial and natural images) after crossover the CANNY filter by the wavelet high-high coefficients, a very efficient segments were found much better than the segments got before, in addition to a deep information can be seen if the selected  segment is projected on the original image to be recognized.
format Article
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publishDate 2010-12-01
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record_format Article
series Al-Rafidain Journal of Computer Sciences and Mathematics
spelling doaj-art-543adc67ef7c4a10bbdca6757ee0457c2025-08-20T02:05:45ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902010-12-0173334010.33899/csmj.2010.163907163907Image Segmentation Based on New Modification on Normalized-Cut AlgorithmKhalil Alsaif0College of Computer Sciences and Mathematics University of MosulIn this research, Normalized Cut algorithm was studied to segments any type of digital images which was widely used recently. In this paper <span style="text-decoration: underline;">wavelet transformation</span>, and high-high frequency components which hold the edges of the image will be used to replace classical high frequency filters of  the old techniques achieved by the normalized cut algorithm ( which  used CANNY filter for edge detection).           When the new modification of the  proposed algorithm applied on the different type of digital images (medical, aerial and natural images) after crossover the CANNY filter by the wavelet high-high coefficients, a very efficient segments were found much better than the segments got before, in addition to a deep information can be seen if the selected  segment is projected on the original image to be recognized.https://csmj.mosuljournals.com/article_163907_5d5690e87bae9cf26b55729a78ee399e.pdfimage segmentationnormalized cut algorithmwavelet transformationcanny filter
spellingShingle Khalil Alsaif
Image Segmentation Based on New Modification on Normalized-Cut Algorithm
Al-Rafidain Journal of Computer Sciences and Mathematics
image segmentation
normalized cut algorithm
wavelet transformation
canny filter
title Image Segmentation Based on New Modification on Normalized-Cut Algorithm
title_full Image Segmentation Based on New Modification on Normalized-Cut Algorithm
title_fullStr Image Segmentation Based on New Modification on Normalized-Cut Algorithm
title_full_unstemmed Image Segmentation Based on New Modification on Normalized-Cut Algorithm
title_short Image Segmentation Based on New Modification on Normalized-Cut Algorithm
title_sort image segmentation based on new modification on normalized cut algorithm
topic image segmentation
normalized cut algorithm
wavelet transformation
canny filter
url https://csmj.mosuljournals.com/article_163907_5d5690e87bae9cf26b55729a78ee399e.pdf
work_keys_str_mv AT khalilalsaif imagesegmentationbasedonnewmodificationonnormalizedcutalgorithm