Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu Method
The aim of the current study lies in the development of a reformative technique of image segmentation for Computed Tomography (CT) concrete images with the strength grades of C30 and C40. The results, through the comparison of the traditional threshold algorithms, indicate that three threshold algor...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/208473 |
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| _version_ | 1832554543026536448 |
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| author | Sheng-Bo Zhou Ai-Qin Shen Geng-Fei Li |
| author_facet | Sheng-Bo Zhou Ai-Qin Shen Geng-Fei Li |
| author_sort | Sheng-Bo Zhou |
| collection | DOAJ |
| description | The aim of the current study lies in the development of a reformative technique of image segmentation for Computed Tomography (CT) concrete images with the strength grades of C30 and C40. The results, through the comparison of the traditional threshold algorithms, indicate that three threshold algorithms and five edge detectors fail to meet the demand of segmentation for Computed Tomography concrete images. The paper proposes a new segmentation method, by combining multiscale noise suppression morphology edge detector with Otsu method, which is more appropriate for the segmentation of Computed Tomography concrete images with low contrast. This method cannot only locate the boundaries between objects and background with high accuracy, but also obtain a complete edge and eliminate noise. |
| format | Article |
| id | doaj-art-0caee05dcfab4b568b8acf20bb667199 |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-0caee05dcfab4b568b8acf20bb6671992025-02-03T05:51:06ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422015-01-01201510.1155/2015/208473208473Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu MethodSheng-Bo Zhou0Ai-Qin Shen1Geng-Fei Li2Guangxi Transportation Research Institute, Key Laboratory of Road and Materials of Guangxi Zhuang Autonomous Region, Nanning 530007, ChinaHighway School, Chang’an University, Xi’an 710064, ChinaGuangxi Transportation Research Institute, Nanning 530007, ChinaThe aim of the current study lies in the development of a reformative technique of image segmentation for Computed Tomography (CT) concrete images with the strength grades of C30 and C40. The results, through the comparison of the traditional threshold algorithms, indicate that three threshold algorithms and five edge detectors fail to meet the demand of segmentation for Computed Tomography concrete images. The paper proposes a new segmentation method, by combining multiscale noise suppression morphology edge detector with Otsu method, which is more appropriate for the segmentation of Computed Tomography concrete images with low contrast. This method cannot only locate the boundaries between objects and background with high accuracy, but also obtain a complete edge and eliminate noise.http://dx.doi.org/10.1155/2015/208473 |
| spellingShingle | Sheng-Bo Zhou Ai-Qin Shen Geng-Fei Li Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu Method Advances in Materials Science and Engineering |
| title | Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu Method |
| title_full | Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu Method |
| title_fullStr | Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu Method |
| title_full_unstemmed | Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu Method |
| title_short | Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu Method |
| title_sort | concrete image segmentation based on multiscale mathematic morphology operators and otsu method |
| url | http://dx.doi.org/10.1155/2015/208473 |
| work_keys_str_mv | AT shengbozhou concreteimagesegmentationbasedonmultiscalemathematicmorphologyoperatorsandotsumethod AT aiqinshen concreteimagesegmentationbasedonmultiscalemathematicmorphologyoperatorsandotsumethod AT gengfeili concreteimagesegmentationbasedonmultiscalemathematicmorphologyoperatorsandotsumethod |