Image Segmentation Based on Statistical Confidence Intervals
Image segmentation is defined as a partition realized to an image into homogeneous regions to modify it into something that is more meaningful and softer to examine. Although several segmentation approaches have been proposed recently, in this paper, we develop a new image segmentation method based...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-01-01
|
| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/20/1/46 |
| _version_ | 1817995982395146240 |
|---|---|
| author | Pablo Buenestado Leonardo Acho |
| author_facet | Pablo Buenestado Leonardo Acho |
| author_sort | Pablo Buenestado |
| collection | DOAJ |
| description | Image segmentation is defined as a partition realized to an image into homogeneous regions to modify it into something that is more meaningful and softer to examine. Although several segmentation approaches have been proposed recently, in this paper, we develop a new image segmentation method based on the statistical confidence interval tool along with the well-known Otsu algorithm. According to our numerical experiments, our method has a dissimilar performance in comparison to the standard Otsu algorithm to specially process images with speckle noise perturbation. Actually, the effect of the speckle noise entropy is almost filtered out by our algorithm. Furthermore, our approach is validated by employing some image samples. |
| first_indexed | 2024-04-14T02:15:13Z |
| format | Article |
| id | doaj.art-6d0aa73942394b53a0ff483cd271bb09 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-14T02:15:13Z |
| publishDate | 2018-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-6d0aa73942394b53a0ff483cd271bb092022-12-22T02:18:13ZengMDPI AGEntropy1099-43002018-01-012014610.3390/e20010046e20010046Image Segmentation Based on Statistical Confidence IntervalsPablo Buenestado0Leonardo Acho1Department of Mathematics, Universitat Politècnica de Catalunya-BarcelonaTech (EEBE), 08034 Barcelona, SpainDepartment of Mathematics, Universitat Politècnica de Catalunya-BarcelonaTech (EEBE), 08034 Barcelona, SpainImage segmentation is defined as a partition realized to an image into homogeneous regions to modify it into something that is more meaningful and softer to examine. Although several segmentation approaches have been proposed recently, in this paper, we develop a new image segmentation method based on the statistical confidence interval tool along with the well-known Otsu algorithm. According to our numerical experiments, our method has a dissimilar performance in comparison to the standard Otsu algorithm to specially process images with speckle noise perturbation. Actually, the effect of the speckle noise entropy is almost filtered out by our algorithm. Furthermore, our approach is validated by employing some image samples.http://www.mdpi.com/1099-4300/20/1/46image segmentationstatistical confidence intervalfilteringOtsu segmentationspeckle noise |
| spellingShingle | Pablo Buenestado Leonardo Acho Image Segmentation Based on Statistical Confidence Intervals Entropy image segmentation statistical confidence interval filtering Otsu segmentation speckle noise |
| title | Image Segmentation Based on Statistical Confidence Intervals |
| title_full | Image Segmentation Based on Statistical Confidence Intervals |
| title_fullStr | Image Segmentation Based on Statistical Confidence Intervals |
| title_full_unstemmed | Image Segmentation Based on Statistical Confidence Intervals |
| title_short | Image Segmentation Based on Statistical Confidence Intervals |
| title_sort | image segmentation based on statistical confidence intervals |
| topic | image segmentation statistical confidence interval filtering Otsu segmentation speckle noise |
| url | http://www.mdpi.com/1099-4300/20/1/46 |
| work_keys_str_mv | AT pablobuenestado imagesegmentationbasedonstatisticalconfidenceintervals AT leonardoacho imagesegmentationbasedonstatisticalconfidenceintervals |