A New Model-CELBF for Medical Image Segmentation Based on Image Entropy
A new model (named CELBF) for medical image segmentation based on LBF and image entropy is proposed in this paper. We introduced image entropy to deal with the inhomogeneity of image gray level. Some real medical images are processed by using this new model and finite difference algorithm. The resul...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
|
| Series: | ITM Web of Conferences |
| Online Access: | https://doi.org/10.1051/itmconf/20171202001 |
| _version_ | 1831674520808718336 |
|---|---|
| author | Zhang Chao Guo Yu-Cui Liu Feng-Shan |
| author_facet | Zhang Chao Guo Yu-Cui Liu Feng-Shan |
| author_sort | Zhang Chao |
| collection | DOAJ |
| description | A new model (named CELBF) for medical image segmentation based on LBF and image entropy is proposed in this paper. We introduced image entropy to deal with the inhomogeneity of image gray level. Some real medical images are processed by using this new model and finite difference algorithm. The results show that new model improves the speed of segmentation and increases noise robustness. Compared with LBF model, the new model can segment inhomogeneity medical image more quickly and more accurately. Meanwhile the CELBF model has more strong robustness with noise. |
| first_indexed | 2024-12-20T03:46:18Z |
| format | Article |
| id | doaj.art-1581047bb37c4347b7247941de67db08 |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-12-20T03:46:18Z |
| publishDate | 2017-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-1581047bb37c4347b7247941de67db082022-12-21T19:54:36ZengEDP SciencesITM Web of Conferences2271-20972017-01-01120200110.1051/itmconf/20171202001itmconf_ita2017_02001A New Model-CELBF for Medical Image Segmentation Based on Image EntropyZhang Chao0Guo Yu-Cui1Liu Feng-Shan2Department of Mathematical Sciences Delaware State UniversitySchool of Science Beijing University of Posts and TelecommunicationsDepartment of Mathematical Sciences Delaware State UniversityA new model (named CELBF) for medical image segmentation based on LBF and image entropy is proposed in this paper. We introduced image entropy to deal with the inhomogeneity of image gray level. Some real medical images are processed by using this new model and finite difference algorithm. The results show that new model improves the speed of segmentation and increases noise robustness. Compared with LBF model, the new model can segment inhomogeneity medical image more quickly and more accurately. Meanwhile the CELBF model has more strong robustness with noise.https://doi.org/10.1051/itmconf/20171202001 |
| spellingShingle | Zhang Chao Guo Yu-Cui Liu Feng-Shan A New Model-CELBF for Medical Image Segmentation Based on Image Entropy ITM Web of Conferences |
| title | A New Model-CELBF for Medical Image Segmentation Based on Image Entropy |
| title_full | A New Model-CELBF for Medical Image Segmentation Based on Image Entropy |
| title_fullStr | A New Model-CELBF for Medical Image Segmentation Based on Image Entropy |
| title_full_unstemmed | A New Model-CELBF for Medical Image Segmentation Based on Image Entropy |
| title_short | A New Model-CELBF for Medical Image Segmentation Based on Image Entropy |
| title_sort | new model celbf for medical image segmentation based on image entropy |
| url | https://doi.org/10.1051/itmconf/20171202001 |
| work_keys_str_mv | AT zhangchao anewmodelcelbfformedicalimagesegmentationbasedonimageentropy AT guoyucui anewmodelcelbfformedicalimagesegmentationbasedonimageentropy AT liufengshan anewmodelcelbfformedicalimagesegmentationbasedonimageentropy AT zhangchao newmodelcelbfformedicalimagesegmentationbasedonimageentropy AT guoyucui newmodelcelbfformedicalimagesegmentationbasedonimageentropy AT liufengshan newmodelcelbfformedicalimagesegmentationbasedonimageentropy |