A novel approach for detecting the presence of a lymphatic rosary in the iris using a 3-stage algorithm
Lymphatic dysfunction is characterized by the sluggish movement of lymph fluids. It manifests as a “Lymphatic Rosary” in the iris which is often due to dehydration and inactivity. Detecting these signs early is crucial for diagnosis and treatment. Therefore, there is a need for an automated, accurat...
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| Language: | English |
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AIMS Press
2024-11-01
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| Series: | AIMS Bioengineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/bioeng.2024023 |
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| author | Poovayar Priya Mohan Ezhilarasan Murugesan |
| author_facet | Poovayar Priya Mohan Ezhilarasan Murugesan |
| author_sort | Poovayar Priya Mohan |
| collection | DOAJ |
| description | Lymphatic dysfunction is characterized by the sluggish movement of lymph fluids. It manifests as a “Lymphatic Rosary” in the iris which is often due to dehydration and inactivity. Detecting these signs early is crucial for diagnosis and treatment. Therefore, there is a need for an automated, accurate, and efficient method to detect lymphatic rosaries in the iris. This paper presents a novel approach for detecting a lymphatic rosary using advanced image processing techniques. The proposed method involves iris segmentation to isolate the iris from the eye, followed by normalization to standardize its structure, and concludes with the application of the modified Daugman method to identify the lymphatic rosary. This automated process aims to enhance the accuracy and reliability of detection by minimizing the subjectivity associated with manual analysis. The proposed approach was tested on various iris images and the results demonstrated impressive accuracy in detecting lymphatic rosaries. The use of different iris code bit representations allowed for a robust detection process, showcasing the method's effectiveness by achieving an accuracy of 94.5% in identifying the presence of a lymphatic rosary across different stages. The novel image processing technique outlined in this paper offers a promising solution for the automated detection of lymphatic rosaries in the iris. The approach not only improves diagnostic accuracy but also provides a standardized method that could be widely implemented in clinical settings. This advancement in iris diagnosis has the potential to play a significant role in the early detection and management of lymphatic dysfunction. |
| format | Article |
| id | doaj-art-2558ba0cc710479fbc00cab36230a9d2 |
| institution | Kabale University |
| issn | 2375-1495 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Bioengineering |
| spelling | doaj-art-2558ba0cc710479fbc00cab36230a9d22025-01-24T01:27:36ZengAIMS PressAIMS Bioengineering2375-14952024-11-0111450652610.3934/bioeng.2024023A novel approach for detecting the presence of a lymphatic rosary in the iris using a 3-stage algorithmPoovayar Priya Mohan0Ezhilarasan Murugesan1Department of Computer Science and Engineering, Puducherry Technological University, Puducherry-605014, IndiaDepartment of Information Technology, Puducherry Technological University, Puducherry-605014, IndiaLymphatic dysfunction is characterized by the sluggish movement of lymph fluids. It manifests as a “Lymphatic Rosary” in the iris which is often due to dehydration and inactivity. Detecting these signs early is crucial for diagnosis and treatment. Therefore, there is a need for an automated, accurate, and efficient method to detect lymphatic rosaries in the iris. This paper presents a novel approach for detecting a lymphatic rosary using advanced image processing techniques. The proposed method involves iris segmentation to isolate the iris from the eye, followed by normalization to standardize its structure, and concludes with the application of the modified Daugman method to identify the lymphatic rosary. This automated process aims to enhance the accuracy and reliability of detection by minimizing the subjectivity associated with manual analysis. The proposed approach was tested on various iris images and the results demonstrated impressive accuracy in detecting lymphatic rosaries. The use of different iris code bit representations allowed for a robust detection process, showcasing the method's effectiveness by achieving an accuracy of 94.5% in identifying the presence of a lymphatic rosary across different stages. The novel image processing technique outlined in this paper offers a promising solution for the automated detection of lymphatic rosaries in the iris. The approach not only improves diagnostic accuracy but also provides a standardized method that could be widely implemented in clinical settings. This advancement in iris diagnosis has the potential to play a significant role in the early detection and management of lymphatic dysfunction.https://www.aimspress.com/article/doi/10.3934/bioeng.2024023lymphatic rosarymodified daugman methodiridologyiris segmentationiris enhancementiris normalization |
| spellingShingle | Poovayar Priya Mohan Ezhilarasan Murugesan A novel approach for detecting the presence of a lymphatic rosary in the iris using a 3-stage algorithm AIMS Bioengineering lymphatic rosary modified daugman method iridology iris segmentation iris enhancement iris normalization |
| title | A novel approach for detecting the presence of a lymphatic rosary in the iris using a 3-stage algorithm |
| title_full | A novel approach for detecting the presence of a lymphatic rosary in the iris using a 3-stage algorithm |
| title_fullStr | A novel approach for detecting the presence of a lymphatic rosary in the iris using a 3-stage algorithm |
| title_full_unstemmed | A novel approach for detecting the presence of a lymphatic rosary in the iris using a 3-stage algorithm |
| title_short | A novel approach for detecting the presence of a lymphatic rosary in the iris using a 3-stage algorithm |
| title_sort | novel approach for detecting the presence of a lymphatic rosary in the iris using a 3 stage algorithm |
| topic | lymphatic rosary modified daugman method iridology iris segmentation iris enhancement iris normalization |
| url | https://www.aimspress.com/article/doi/10.3934/bioeng.2024023 |
| work_keys_str_mv | AT poovayarpriyamohan anovelapproachfordetectingthepresenceofalymphaticrosaryintheirisusinga3stagealgorithm AT ezhilarasanmurugesan anovelapproachfordetectingthepresenceofalymphaticrosaryintheirisusinga3stagealgorithm AT poovayarpriyamohan novelapproachfordetectingthepresenceofalymphaticrosaryintheirisusinga3stagealgorithm AT ezhilarasanmurugesan novelapproachfordetectingthepresenceofalymphaticrosaryintheirisusinga3stagealgorithm |