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ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION
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| Zeitschriftentitel: | Image Analysis & Stereology |
|---|---|
| Personen und Körperschaften: | , |
| In: | Image Analysis & Stereology, 38, 2019, 2, S. 151 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
Slovenian Society for Stereology and Quantitative Image Analysis
|
| Schlagwörter: |
| author_facet |
Cabero, Ismael Epifanio, Irene Cabero, Ismael Epifanio, Irene |
|---|---|
| author |
Cabero, Ismael Epifanio, Irene |
| spellingShingle |
Cabero, Ismael Epifanio, Irene Image Analysis & Stereology ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION Computer Vision and Pattern Recognition Acoustics and Ultrasonics Radiology, Nuclear Medicine and imaging Instrumentation Materials Science (miscellaneous) General Mathematics Signal Processing Biotechnology |
| author_sort |
cabero, ismael |
| spelling |
Cabero, Ismael Epifanio, Irene 1854-5165 1580-3139 Slovenian Society for Stereology and Quantitative Image Analysis Computer Vision and Pattern Recognition Acoustics and Ultrasonics Radiology, Nuclear Medicine and imaging Instrumentation Materials Science (miscellaneous) General Mathematics Signal Processing Biotechnology http://dx.doi.org/10.5566/ias.2052 <jats:p>Texture segmentation is one of the main tasks in image applications, specifically in remote sensing, where the objective is to segment high-resolution images of natural landscapes into different cover types. Often the focus is on the selection of discriminant textural features, and although these are really fundamental, there is another part of the process that is also influential, partitioning different homogeneous textures into groups. A methodology based on archetype analysis (AA) of the local textural measurements is proposed. AA seeks the purest textures in the image and it can find the borders between pure textures, as those regions composed of mixtures of several archetypes. The proposed procedure has been tested on a remote sensing image application with local granulometries, providing promising results.</jats:p> ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION Image Analysis & Stereology |
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10.5566/ias.2052 |
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Slovenian Society for Stereology and Quantitative Image Analysis, 2019 |
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Image Analysis & Stereology |
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| title |
ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION |
| title_unstemmed |
ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION |
| title_full |
ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION |
| title_fullStr |
ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION |
| title_full_unstemmed |
ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION |
| title_short |
ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION |
| title_sort |
archetypal analysis: an alternative to clustering for unsupervised texture segmentation |
| topic |
Computer Vision and Pattern Recognition Acoustics and Ultrasonics Radiology, Nuclear Medicine and imaging Instrumentation Materials Science (miscellaneous) General Mathematics Signal Processing Biotechnology |
| url |
http://dx.doi.org/10.5566/ias.2052 |
| publishDate |
2019 |
| physical |
151 |
| description |
<jats:p>Texture segmentation is one of the main tasks in image applications, specifically in remote sensing, where the objective is to segment high-resolution images of natural landscapes into different cover types. Often the focus is on the selection of discriminant textural features, and although these are really fundamental, there is another part of the process that is also influential, partitioning different homogeneous textures into groups. A methodology based on archetype analysis (AA) of the local textural measurements is proposed. AA seeks the purest textures in the image and it can find the borders between pure textures, as those regions composed of mixtures of several archetypes. The proposed procedure has been tested on a remote sensing image application with local granulometries, providing promising results.</jats:p> |
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| author | Cabero, Ismael, Epifanio, Irene |
| author_facet | Cabero, Ismael, Epifanio, Irene, Cabero, Ismael, Epifanio, Irene |
| author_sort | cabero, ismael |
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| description | <jats:p>Texture segmentation is one of the main tasks in image applications, specifically in remote sensing, where the objective is to segment high-resolution images of natural landscapes into different cover types. Often the focus is on the selection of discriminant textural features, and although these are really fundamental, there is another part of the process that is also influential, partitioning different homogeneous textures into groups. A methodology based on archetype analysis (AA) of the local textural measurements is proposed. AA seeks the purest textures in the image and it can find the borders between pure textures, as those regions composed of mixtures of several archetypes. The proposed procedure has been tested on a remote sensing image application with local granulometries, providing promising results.</jats:p> |
| doi_str_mv | 10.5566/ias.2052 |
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| imprint | Slovenian Society for Stereology and Quantitative Image Analysis, 2019 |
| imprint_str_mv | Slovenian Society for Stereology and Quantitative Image Analysis, 2019 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229 |
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| last_indexed | 2024-03-01T14:29:33.42Z |
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| mega_collection | Slovenian Society for Stereology and Quantitative Image Analysis (CrossRef) |
| physical | 151 |
| publishDate | 2019 |
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| publisher | Slovenian Society for Stereology and Quantitative Image Analysis |
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| series | Image Analysis & Stereology |
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| spelling | Cabero, Ismael Epifanio, Irene 1854-5165 1580-3139 Slovenian Society for Stereology and Quantitative Image Analysis Computer Vision and Pattern Recognition Acoustics and Ultrasonics Radiology, Nuclear Medicine and imaging Instrumentation Materials Science (miscellaneous) General Mathematics Signal Processing Biotechnology http://dx.doi.org/10.5566/ias.2052 <jats:p>Texture segmentation is one of the main tasks in image applications, specifically in remote sensing, where the objective is to segment high-resolution images of natural landscapes into different cover types. Often the focus is on the selection of discriminant textural features, and although these are really fundamental, there is another part of the process that is also influential, partitioning different homogeneous textures into groups. A methodology based on archetype analysis (AA) of the local textural measurements is proposed. AA seeks the purest textures in the image and it can find the borders between pure textures, as those regions composed of mixtures of several archetypes. The proposed procedure has been tested on a remote sensing image application with local granulometries, providing promising results.</jats:p> ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION Image Analysis & Stereology |
| spellingShingle | Cabero, Ismael, Epifanio, Irene, Image Analysis & Stereology, ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION, Computer Vision and Pattern Recognition, Acoustics and Ultrasonics, Radiology, Nuclear Medicine and imaging, Instrumentation, Materials Science (miscellaneous), General Mathematics, Signal Processing, Biotechnology |
| title | ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION |
| title_full | ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION |
| title_fullStr | ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION |
| title_full_unstemmed | ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION |
| title_short | ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION |
| title_sort | archetypal analysis: an alternative to clustering for unsupervised texture segmentation |
| title_unstemmed | ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION |
| topic | Computer Vision and Pattern Recognition, Acoustics and Ultrasonics, Radiology, Nuclear Medicine and imaging, Instrumentation, Materials Science (miscellaneous), General Mathematics, Signal Processing, Biotechnology |
| url | http://dx.doi.org/10.5566/ias.2052 |