A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation
In recent years, research in tracking and assessing wound severity using computerized image processing has increased. With the emergence of mobile devices, powerful functionalities and processing capabilities have provided multiple non-invasive wound evaluation opportunities in both clinical and non...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Computers |
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| Online Access: | https://www.mdpi.com/2073-431X/10/4/43 |
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| author | Filipe Ferreira Ivan Miguel Pires Mónica Costa Vasco Ponciano Nuno M. Garcia Eftim Zdravevski Ivan Chorbev Martin Mihajlov |
| author_facet | Filipe Ferreira Ivan Miguel Pires Mónica Costa Vasco Ponciano Nuno M. Garcia Eftim Zdravevski Ivan Chorbev Martin Mihajlov |
| author_sort | Filipe Ferreira |
| collection | DOAJ |
| description | In recent years, research in tracking and assessing wound severity using computerized image processing has increased. With the emergence of mobile devices, powerful functionalities and processing capabilities have provided multiple non-invasive wound evaluation opportunities in both clinical and non-clinical settings. With current imaging technologies, objective and reliable techniques provide qualitative information that can be further processed to provide quantitative information on the size, structure, and color characteristics of wounds. These efficient image analysis algorithms help determine the injury features and the progress of healing in a short time. This paper presents a systematic investigation of articles that specifically address the measurement of wounds’ sizes with image processing techniques, promoting the connection between computer science and health. Of the 208 studies identified by searching electronic databases, 20 were included in the review. From the perspective of image processing color models, the most dominant model was the hue, saturation, and value (HSV) color space. We proposed that a method for measuring the wound area must implement different stages, including conversion to grayscale for further implementation of the threshold and a segmentation method to measure the wound area as the number of pixels for further conversion to metric units. Regarding devices, mobile technology is shown to have reached the level of reliable accuracy. |
| first_indexed | 2024-03-10T12:41:38Z |
| format | Article |
| id | doaj.art-7e9e17368a1a4562bcbab7aba1f6fafd |
| institution | Directory Open Access Journal |
| issn | 2073-431X |
| language | English |
| last_indexed | 2024-03-10T12:41:38Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj.art-7e9e17368a1a4562bcbab7aba1f6fafd2023-11-21T13:52:14ZengMDPI AGComputers2073-431X2021-04-011044310.3390/computers10040043A Systematic Investigation of Models for Color Image Processing in Wound Size EstimationFilipe Ferreira0Ivan Miguel Pires1Mónica Costa2Vasco Ponciano3Nuno M. Garcia4Eftim Zdravevski5Ivan Chorbev6Martin Mihajlov7R&D Unit in Digital Services, Applications and Content, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, PortugalInstituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, PortugalR&D Unit in Digital Services, Applications and Content, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, PortugalR&D Unit in Digital Services, Applications and Content, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, PortugalInstituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, PortugalFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North MacedoniaFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North MacedoniaLaboratory for Open Systems and Networks, Jozef Stefan Institute, 1000 Ljubljana, SloveniaIn recent years, research in tracking and assessing wound severity using computerized image processing has increased. With the emergence of mobile devices, powerful functionalities and processing capabilities have provided multiple non-invasive wound evaluation opportunities in both clinical and non-clinical settings. With current imaging technologies, objective and reliable techniques provide qualitative information that can be further processed to provide quantitative information on the size, structure, and color characteristics of wounds. These efficient image analysis algorithms help determine the injury features and the progress of healing in a short time. This paper presents a systematic investigation of articles that specifically address the measurement of wounds’ sizes with image processing techniques, promoting the connection between computer science and health. Of the 208 studies identified by searching electronic databases, 20 were included in the review. From the perspective of image processing color models, the most dominant model was the hue, saturation, and value (HSV) color space. We proposed that a method for measuring the wound area must implement different stages, including conversion to grayscale for further implementation of the threshold and a segmentation method to measure the wound area as the number of pixels for further conversion to metric units. Regarding devices, mobile technology is shown to have reached the level of reliable accuracy.https://www.mdpi.com/2073-431X/10/4/43wound measurementimage processingmobile devicesmedicinesizetechnology |
| spellingShingle | Filipe Ferreira Ivan Miguel Pires Mónica Costa Vasco Ponciano Nuno M. Garcia Eftim Zdravevski Ivan Chorbev Martin Mihajlov A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation Computers wound measurement image processing mobile devices medicine size technology |
| title | A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation |
| title_full | A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation |
| title_fullStr | A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation |
| title_full_unstemmed | A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation |
| title_short | A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation |
| title_sort | systematic investigation of models for color image processing in wound size estimation |
| topic | wound measurement image processing mobile devices medicine size technology |
| url | https://www.mdpi.com/2073-431X/10/4/43 |
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