Medical Image Coloring Based on Gabor Filtering for Internet of Medical Things
Color medical images better reflect a patient's lesion information and facilitate communication between doctors and patients. The combination of medical image processing and the Internet has been widely used for clinical medicine on Internet of medical things. The classical Welsh method uses ma...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9106393/ |
| _version_ | 1818578245456494592 |
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| author | Hong-An Li Jiangwen Fan Keping Yu Xin Qi Zheng Wen Qiaozhi Hua Min Zhang Qiaoxue Zheng |
| author_facet | Hong-An Li Jiangwen Fan Keping Yu Xin Qi Zheng Wen Qiaozhi Hua Min Zhang Qiaoxue Zheng |
| author_sort | Hong-An Li |
| collection | DOAJ |
| description | Color medical images better reflect a patient's lesion information and facilitate communication between doctors and patients. The combination of medical image processing and the Internet has been widely used for clinical medicine on Internet of medical things. The classical Welsh method uses matching pixels to achieve color migration of grayscale images, but it exists problems such as unclear boundary and single coloring effect. Therefore, the key information of medical images after coloring can't be reflected efficiently. To address this issue, we propose an image coloring method based on Gabor filtering combined with Welsh coloring and apply it to medical grayscale images. By using Gabor filtering, which is similar to the visual stimulus response of simple cells in the human visual system, filtering in 4 directions and 6 scales is used to stratify the grayscale images and extract local spatial and frequency domain information. In addition, the Welsh coloring method is used to render the image with obvious textural features in the layered image. Our experiments show that the color transboundary problem can be solved effectively after the layered processing. Compared to images without stratification, the coloring results of the processed images are closer to the real image. |
| first_indexed | 2024-12-16T06:42:45Z |
| format | Article |
| id | doaj.art-a8e383bdd82b47ea9c6c2dd96f7f9523 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T06:42:45Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a8e383bdd82b47ea9c6c2dd96f7f95232022-12-21T22:40:39ZengIEEEIEEE Access2169-35362020-01-01810401610402510.1109/ACCESS.2020.29994549106393Medical Image Coloring Based on Gabor Filtering for Internet of Medical ThingsHong-An Li0https://orcid.org/0000-0003-1805-8430Jiangwen Fan1Keping Yu2https://orcid.org/0000-0001-5735-2507Xin Qi3https://orcid.org/0000-0003-4588-1238Zheng Wen4Qiaozhi Hua5https://orcid.org/0000-0002-5999-4498Min Zhang6Qiaoxue Zheng7College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, ChinaCollege of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, ChinaGlobal Information and Telecommunication Institute, Waseda University, Tokyo, JapanGlobal Information and Telecommunication Institute, Waseda University, Tokyo, JapanSchool of Fundamental Science and Engineering, Waseda University, Tokyo, JapanComputer School, Hubei University of Arts and Science, Xiangyang, ChinaCollege of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, ChinaCollege of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, ChinaColor medical images better reflect a patient's lesion information and facilitate communication between doctors and patients. The combination of medical image processing and the Internet has been widely used for clinical medicine on Internet of medical things. The classical Welsh method uses matching pixels to achieve color migration of grayscale images, but it exists problems such as unclear boundary and single coloring effect. Therefore, the key information of medical images after coloring can't be reflected efficiently. To address this issue, we propose an image coloring method based on Gabor filtering combined with Welsh coloring and apply it to medical grayscale images. By using Gabor filtering, which is similar to the visual stimulus response of simple cells in the human visual system, filtering in 4 directions and 6 scales is used to stratify the grayscale images and extract local spatial and frequency domain information. In addition, the Welsh coloring method is used to render the image with obvious textural features in the layered image. Our experiments show that the color transboundary problem can be solved effectively after the layered processing. Compared to images without stratification, the coloring results of the processed images are closer to the real image.https://ieeexplore.ieee.org/document/9106393/Medical image colorizationGabor filterInternet of medical things |
| spellingShingle | Hong-An Li Jiangwen Fan Keping Yu Xin Qi Zheng Wen Qiaozhi Hua Min Zhang Qiaoxue Zheng Medical Image Coloring Based on Gabor Filtering for Internet of Medical Things IEEE Access Medical image colorization Gabor filter Internet of medical things |
| title | Medical Image Coloring Based on Gabor Filtering for Internet of Medical Things |
| title_full | Medical Image Coloring Based on Gabor Filtering for Internet of Medical Things |
| title_fullStr | Medical Image Coloring Based on Gabor Filtering for Internet of Medical Things |
| title_full_unstemmed | Medical Image Coloring Based on Gabor Filtering for Internet of Medical Things |
| title_short | Medical Image Coloring Based on Gabor Filtering for Internet of Medical Things |
| title_sort | medical image coloring based on gabor filtering for internet of medical things |
| topic | Medical image colorization Gabor filter Internet of medical things |
| url | https://ieeexplore.ieee.org/document/9106393/ |
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