Hough Transform Sensitivity Factor Calculation Model Applied to the Analysis of Acne Vulgaris Skin Lesions
The number of infectious spots or pathological structures recorded on dermatological images is a tool to aid in the diagnosis and monitoring of disease progression. Dermatological images for the detection and monitoring of the evolution of acne infections are evaluated globally, comparing whether th...
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MDPI AG
2022-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/3/1691 |
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| author | María Moncho Santonja Bàrbara Micó-Vicent Beatriz Defez Jorge Jordán Guillermo Peris-Fajarnes |
| author_facet | María Moncho Santonja Bàrbara Micó-Vicent Beatriz Defez Jorge Jordán Guillermo Peris-Fajarnes |
| author_sort | María Moncho Santonja |
| collection | DOAJ |
| description | The number of infectious spots or pathological structures recorded on dermatological images is a tool to aid in the diagnosis and monitoring of disease progression. Dermatological images for the detection and monitoring of the evolution of acne infections are evaluated globally, comparing whether the increase or decrease in infectious lesions appearing on an image is significant. This evaluation method is only indicative since its accuracy is low. The accuracy problem could be improved by an exact count of the number of structures and spots appearing on the image. The mathematical function circular Hough transform (CHT) function implemented in MATLAB is here applied to develop a procedure for counting these structures. CHT has been used in the recognition of benign and distorted red blood cells, in the detection of pellet sizes in industrial processes and in the automated detection and morphological characterization of breast tumor masses from infrared images, as well as for the detection of brain aneurysms and use in magnetic resonance imaging. The sensitivity factor is one of the many parameters required to feed the CHT algorithm. Its choice is unclear as there is no proper methodology to select an optimum value suitable for each image. In this work, a procedure for determining the optimal value of the sensitivity factor is proposed The approach is validated by comparison with the results of the manual counting of the points (ground truth). |
| first_indexed | 2024-03-10T00:10:05Z |
| format | Article |
| id | doaj.art-635390658dae4968a2ecb6e2a14bf7a7 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:10:05Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
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| spelling | doaj.art-635390658dae4968a2ecb6e2a14bf7a72023-11-23T16:01:52ZengMDPI AGApplied Sciences2076-34172022-02-01123169110.3390/app12031691Hough Transform Sensitivity Factor Calculation Model Applied to the Analysis of Acne Vulgaris Skin LesionsMaría Moncho Santonja0Bàrbara Micó-Vicent1Beatriz Defez2Jorge Jordán3Guillermo Peris-Fajarnes4Research Center in Graphical Technologies, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, SpainResearch Center in Graphical Technologies, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, SpainResearch Center in Graphical Technologies, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, SpainResearch Center in Graphical Technologies, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, SpainResearch Center in Graphical Technologies, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, SpainThe number of infectious spots or pathological structures recorded on dermatological images is a tool to aid in the diagnosis and monitoring of disease progression. Dermatological images for the detection and monitoring of the evolution of acne infections are evaluated globally, comparing whether the increase or decrease in infectious lesions appearing on an image is significant. This evaluation method is only indicative since its accuracy is low. The accuracy problem could be improved by an exact count of the number of structures and spots appearing on the image. The mathematical function circular Hough transform (CHT) function implemented in MATLAB is here applied to develop a procedure for counting these structures. CHT has been used in the recognition of benign and distorted red blood cells, in the detection of pellet sizes in industrial processes and in the automated detection and morphological characterization of breast tumor masses from infrared images, as well as for the detection of brain aneurysms and use in magnetic resonance imaging. The sensitivity factor is one of the many parameters required to feed the CHT algorithm. Its choice is unclear as there is no proper methodology to select an optimum value suitable for each image. In this work, a procedure for determining the optimal value of the sensitivity factor is proposed The approach is validated by comparison with the results of the manual counting of the points (ground truth).https://www.mdpi.com/2076-3417/12/3/1691circular Hough transform functionimage processingstatisticssensitivityMATLABdermatological images |
| spellingShingle | María Moncho Santonja Bàrbara Micó-Vicent Beatriz Defez Jorge Jordán Guillermo Peris-Fajarnes Hough Transform Sensitivity Factor Calculation Model Applied to the Analysis of Acne Vulgaris Skin Lesions Applied Sciences circular Hough transform function image processing statistics sensitivity MATLAB dermatological images |
| title | Hough Transform Sensitivity Factor Calculation Model Applied to the Analysis of Acne Vulgaris Skin Lesions |
| title_full | Hough Transform Sensitivity Factor Calculation Model Applied to the Analysis of Acne Vulgaris Skin Lesions |
| title_fullStr | Hough Transform Sensitivity Factor Calculation Model Applied to the Analysis of Acne Vulgaris Skin Lesions |
| title_full_unstemmed | Hough Transform Sensitivity Factor Calculation Model Applied to the Analysis of Acne Vulgaris Skin Lesions |
| title_short | Hough Transform Sensitivity Factor Calculation Model Applied to the Analysis of Acne Vulgaris Skin Lesions |
| title_sort | hough transform sensitivity factor calculation model applied to the analysis of acne vulgaris skin lesions |
| topic | circular Hough transform function image processing statistics sensitivity MATLAB dermatological images |
| url | https://www.mdpi.com/2076-3417/12/3/1691 |
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