Categorization of cloud image patches using an improved texton-based approach
We propose a modified texton-based classification approach that integrates both color and texture information for improved classification results. We test our proposed method for the task of cloud classification on SWIMCAT, a large new database of cloud images taken with a ground-based sky imager, w...
| Hlavní autoři: | , , |
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| Další autoři: | |
| Médium: | Conference Paper |
| Jazyk: | English |
| Vydáno: |
2016
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| Témata: | |
| On-line přístup: | https://hdl.handle.net/10356/82916 http://hdl.handle.net/10220/40358 |
| _version_ | 1826126309471813632 |
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| author | Dev, Soumyabrata Lee, Yee Hui Winkler, Stefan |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Dev, Soumyabrata Lee, Yee Hui Winkler, Stefan |
| author_sort | Dev, Soumyabrata |
| collection | NTU |
| description | We propose a modified texton-based classification approach that integrates both color and texture information for improved classification results. We test our proposed method for the task of cloud classification on SWIMCAT, a large new database of cloud images taken with a ground-based sky imager, with very good results. We perform an extensive evaluation, comparing different color components, filter banks, and other parameters to understand their effect on classification accuracy. Finally, we release the SWIMCAT dataset that was created for the task of cloud categorization. |
| first_indexed | 2024-10-01T06:50:35Z |
| format | Conference Paper |
| id | ntu-10356/82916 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:50:35Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-10356/829162020-03-07T13:24:44Z Categorization of cloud image patches using an improved texton-based approach Dev, Soumyabrata Lee, Yee Hui Winkler, Stefan School of Electrical and Electronic Engineering 2015 IEEE International Conference on Image Processing (ICIP) Cloud texture Classification Groundbased sky imaging We propose a modified texton-based classification approach that integrates both color and texture information for improved classification results. We test our proposed method for the task of cloud classification on SWIMCAT, a large new database of cloud images taken with a ground-based sky imager, with very good results. We perform an extensive evaluation, comparing different color components, filter banks, and other parameters to understand their effect on classification accuracy. Finally, we release the SWIMCAT dataset that was created for the task of cloud categorization. Accepted version 2016-03-31T09:18:15Z 2019-12-06T15:08:10Z 2016-03-31T09:18:15Z 2019-12-06T15:08:10Z 2015 Conference Paper Dev, S., Lee, Y. H., & Winkler, S. (2015). Categorization of cloud image patches using an improved texton-based approach. 2015 IEEE International Conference on Image Processing (ICIP), 422-426. https://hdl.handle.net/10356/82916 http://hdl.handle.net/10220/40358 10.1109/ICIP.2015.7350833 en © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/ICIP.2015.7350833]. 5 p. application/pdf |
| spellingShingle | Cloud texture Classification Groundbased sky imaging Dev, Soumyabrata Lee, Yee Hui Winkler, Stefan Categorization of cloud image patches using an improved texton-based approach |
| title | Categorization of cloud image patches using an improved texton-based approach |
| title_full | Categorization of cloud image patches using an improved texton-based approach |
| title_fullStr | Categorization of cloud image patches using an improved texton-based approach |
| title_full_unstemmed | Categorization of cloud image patches using an improved texton-based approach |
| title_short | Categorization of cloud image patches using an improved texton-based approach |
| title_sort | categorization of cloud image patches using an improved texton based approach |
| topic | Cloud texture Classification Groundbased sky imaging |
| url | https://hdl.handle.net/10356/82916 http://hdl.handle.net/10220/40358 |
| work_keys_str_mv | AT devsoumyabrata categorizationofcloudimagepatchesusinganimprovedtextonbasedapproach AT leeyeehui categorizationofcloudimagepatchesusinganimprovedtextonbasedapproach AT winklerstefan categorizationofcloudimagepatchesusinganimprovedtextonbasedapproach |