The Pruning of Combined Neighborhood Differences Texture Descriptor for Multispectral Image Segmentation
This paper proposes a novel feature extraction method for unsupervised multispectral image segmentation by pruning the two dimensional texture feature named combine neighborhood differences. In contrast with the original CND, which is applied with traditional image, the pruned CND is computed o...
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| Format: | Article |
| Language: | English |
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2011
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| Online Access: | http://eprints.utem.edu.my/id/eprint/4103/ http://eprints.utem.edu.my/id/eprint/4103/1/IJCTEE_1111_26.pdf |
| _version_ | 1848886993204805632 |
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| author | Saipullah, Khairul Muzzammil |
| author_facet | Saipullah, Khairul Muzzammil |
| author_sort | Saipullah, Khairul Muzzammil |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | This paper proposes a novel feature extraction
method for unsupervised multispectral image segmentation by
pruning the two dimensional texture feature named combine
neighborhood differences. In contrast with the original CND,
which is applied with traditional image, the pruned CND is
computed on a single pixel with various bands. The proposed
algorithm utilizes the sign of differences between bands of the
pixel. The difference values are thresholded to form a binary
codeword. A binomial factor is assigned to the codeword to form
another unique value. These values are then grouped to
construct the multiband CND feature image where is used in the
unsupervised segmentation. Experimental results, with respect
to segmentation and classification accuracy using two
LANDSAT multispectral images test suite have been performed.
The result shows that the pruned CND feature outperforms
spectral feature, with average classification accuracies of
87.55% whereas that of spectral feature is 55.81%. |
| first_indexed | 2025-11-15T19:47:19Z |
| format | Article |
| id | utem-4103 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:47:19Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-41032021-12-28T16:48:48Z http://eprints.utem.edu.my/id/eprint/4103/ The Pruning of Combined Neighborhood Differences Texture Descriptor for Multispectral Image Segmentation Saipullah, Khairul Muzzammil TA Engineering (General). Civil engineering (General) This paper proposes a novel feature extraction method for unsupervised multispectral image segmentation by pruning the two dimensional texture feature named combine neighborhood differences. In contrast with the original CND, which is applied with traditional image, the pruned CND is computed on a single pixel with various bands. The proposed algorithm utilizes the sign of differences between bands of the pixel. The difference values are thresholded to form a binary codeword. A binomial factor is assigned to the codeword to form another unique value. These values are then grouped to construct the multiband CND feature image where is used in the unsupervised segmentation. Experimental results, with respect to segmentation and classification accuracy using two LANDSAT multispectral images test suite have been performed. The result shows that the pruned CND feature outperforms spectral feature, with average classification accuracies of 87.55% whereas that of spectral feature is 55.81%. 2011 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/4103/1/IJCTEE_1111_26.pdf Saipullah, Khairul Muzzammil (2011) The Pruning of Combined Neighborhood Differences Texture Descriptor for Multispectral Image Segmentation. International Journal of Computer Technology and Electronics Engineering, 1 (3). pp. 1-6. ISSN 2249-6343 http://www.ijctee.org/ISSUE3.html |
| spellingShingle | TA Engineering (General). Civil engineering (General) Saipullah, Khairul Muzzammil The Pruning of Combined Neighborhood Differences Texture Descriptor for Multispectral Image Segmentation |
| title | The Pruning of Combined Neighborhood
Differences Texture Descriptor for Multispectral
Image Segmentation |
| title_full | The Pruning of Combined Neighborhood
Differences Texture Descriptor for Multispectral
Image Segmentation |
| title_fullStr | The Pruning of Combined Neighborhood
Differences Texture Descriptor for Multispectral
Image Segmentation |
| title_full_unstemmed | The Pruning of Combined Neighborhood
Differences Texture Descriptor for Multispectral
Image Segmentation |
| title_short | The Pruning of Combined Neighborhood
Differences Texture Descriptor for Multispectral
Image Segmentation |
| title_sort | pruning of combined neighborhood
differences texture descriptor for multispectral
image segmentation |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utem.edu.my/id/eprint/4103/ http://eprints.utem.edu.my/id/eprint/4103/ http://eprints.utem.edu.my/id/eprint/4103/1/IJCTEE_1111_26.pdf |