An Interval Iteration Based Multilevel Thresholding Algorithm for Brain MR Image Segmentation
In this paper, we propose an interval iteration multilevel thresholding method (IIMT). This approach is based on the Otsu method but iteratively searches for sub-regions of the image to achieve segmentation, rather than processing the full image as a whole region. Then, a novel multilevel thresholdi...
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MDPI AG
2021
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oai:doaj.org-article:7bc6b33a289e4001b11ef246d5c1d98d2021-11-25T17:29:36ZAn Interval Iteration Based Multilevel Thresholding Algorithm for Brain MR Image Segmentation10.3390/e231114291099-4300https://doaj.org/article/7bc6b33a289e4001b11ef246d5c1d98d2021-10-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1429https://doaj.org/toc/1099-4300In this paper, we propose an interval iteration multilevel thresholding method (IIMT). This approach is based on the Otsu method but iteratively searches for sub-regions of the image to achieve segmentation, rather than processing the full image as a whole region. Then, a novel multilevel thresholding framework based on IIMT for brain MR image segmentation is proposed. In this framework, the original image is first decomposed using a hybrid <i>L</i><sub>1</sub> − <i>L</i><sub>0</sub> layer decomposition method to obtain the base layer. Second, we use IIMT to segment both the original image and its base layer. Finally, the two segmentation results are integrated by a fusion scheme to obtain a more refined and accurate segmentation result. Experimental results showed that our proposed algorithm is effective, and outperforms the standard Otsu-based and other optimization-based segmentation methods.Yuncong FengWanru LiuXiaoli ZhangZhicheng LiuYunfei LiuGuishen WangMDPI AGarticleimage segmentationmultilevel thresholdinginterval iterationlayer decompositionsegmentation fusionScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1429, p 1429 (2021) |
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DOAJ |
| language |
EN |
| topic |
image segmentation multilevel thresholding interval iteration layer decomposition segmentation fusion Science Q Astrophysics QB460-466 Physics QC1-999 |
| spellingShingle |
image segmentation multilevel thresholding interval iteration layer decomposition segmentation fusion Science Q Astrophysics QB460-466 Physics QC1-999 Yuncong Feng Wanru Liu Xiaoli Zhang Zhicheng Liu Yunfei Liu Guishen Wang An Interval Iteration Based Multilevel Thresholding Algorithm for Brain MR Image Segmentation |
| description |
In this paper, we propose an interval iteration multilevel thresholding method (IIMT). This approach is based on the Otsu method but iteratively searches for sub-regions of the image to achieve segmentation, rather than processing the full image as a whole region. Then, a novel multilevel thresholding framework based on IIMT for brain MR image segmentation is proposed. In this framework, the original image is first decomposed using a hybrid <i>L</i><sub>1</sub> − <i>L</i><sub>0</sub> layer decomposition method to obtain the base layer. Second, we use IIMT to segment both the original image and its base layer. Finally, the two segmentation results are integrated by a fusion scheme to obtain a more refined and accurate segmentation result. Experimental results showed that our proposed algorithm is effective, and outperforms the standard Otsu-based and other optimization-based segmentation methods. |
| format |
article |
| author |
Yuncong Feng Wanru Liu Xiaoli Zhang Zhicheng Liu Yunfei Liu Guishen Wang |
| author_facet |
Yuncong Feng Wanru Liu Xiaoli Zhang Zhicheng Liu Yunfei Liu Guishen Wang |
| author_sort |
Yuncong Feng |
| title |
An Interval Iteration Based Multilevel Thresholding Algorithm for Brain MR Image Segmentation |
| title_short |
An Interval Iteration Based Multilevel Thresholding Algorithm for Brain MR Image Segmentation |
| title_full |
An Interval Iteration Based Multilevel Thresholding Algorithm for Brain MR Image Segmentation |
| title_fullStr |
An Interval Iteration Based Multilevel Thresholding Algorithm for Brain MR Image Segmentation |
| title_full_unstemmed |
An Interval Iteration Based Multilevel Thresholding Algorithm for Brain MR Image Segmentation |
| title_sort |
interval iteration based multilevel thresholding algorithm for brain mr image segmentation |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://doaj.org/article/7bc6b33a289e4001b11ef246d5c1d98d |
| work_keys_str_mv |
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