A simple approach to determine the best threshold value for automatic image thresholding
Image thresholding is a powerful yet simple method to highlight the subject from its background in image scene analysis. Lots of methods have been proposed around the globe while some researchers regard this matter as a non-trivial problem. This paper proposes a simple approach for fast calculation...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/45794/1/A%20simple%20approach%20to%20determine%20the%20best%20threshold%20value%20for%20automatic%20image%20thresholding.pdf |
| _version_ | 1825929597902913536 |
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| author | Ismail, Abdul Halim Marhaban, Mohammad Hamiruce |
| author_facet | Ismail, Abdul Halim Marhaban, Mohammad Hamiruce |
| author_sort | Ismail, Abdul Halim |
| collection | UPM |
| description | Image thresholding is a powerful yet simple method to highlight the subject from its background in image scene analysis. Lots of methods have been proposed around the globe while some researchers regard this matter as a non-trivial problem. This paper proposes a simple approach for fast calculation of the threshold value for automatic image thresholding based on gradient analysis of the image histogram. The method manages to successfully differentiate the subject from the background. The proposed approach is validated by illustrative examples. Satisfactory results were acquired with other methods that use more complex algorithms. |
| first_indexed | 2024-03-06T08:59:03Z |
| format | Conference or Workshop Item |
| id | upm.eprints-45794 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:59:03Z |
| publishDate | 2009 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-457942020-08-10T02:19:36Z http://psasir.upm.edu.my/id/eprint/45794/ A simple approach to determine the best threshold value for automatic image thresholding Ismail, Abdul Halim Marhaban, Mohammad Hamiruce Image thresholding is a powerful yet simple method to highlight the subject from its background in image scene analysis. Lots of methods have been proposed around the globe while some researchers regard this matter as a non-trivial problem. This paper proposes a simple approach for fast calculation of the threshold value for automatic image thresholding based on gradient analysis of the image histogram. The method manages to successfully differentiate the subject from the background. The proposed approach is validated by illustrative examples. Satisfactory results were acquired with other methods that use more complex algorithms. IEEE 2009 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45794/1/A%20simple%20approach%20to%20determine%20the%20best%20threshold%20value%20for%20automatic%20image%20thresholding.pdf Ismail, Abdul Halim and Marhaban, Mohammad Hamiruce (2009) A simple approach to determine the best threshold value for automatic image thresholding. In: 2009 IEEE International Conference on Signal and Image Processing Applications (ICSIPA 2009), 18-19 Nov. 2009, Cititel (Mid Valley) Hotel, Kuala Lumpur, Malaysia. (pp. 162-166). 10.1109/ICSIPA.2009.5478623 |
| spellingShingle | Ismail, Abdul Halim Marhaban, Mohammad Hamiruce A simple approach to determine the best threshold value for automatic image thresholding |
| title | A simple approach to determine the best threshold value for automatic image thresholding |
| title_full | A simple approach to determine the best threshold value for automatic image thresholding |
| title_fullStr | A simple approach to determine the best threshold value for automatic image thresholding |
| title_full_unstemmed | A simple approach to determine the best threshold value for automatic image thresholding |
| title_short | A simple approach to determine the best threshold value for automatic image thresholding |
| title_sort | simple approach to determine the best threshold value for automatic image thresholding |
| url | http://psasir.upm.edu.my/id/eprint/45794/1/A%20simple%20approach%20to%20determine%20the%20best%20threshold%20value%20for%20automatic%20image%20thresholding.pdf |
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