Thermographic image processing analysis in a solar concentrator with hard C-means clustering
Thermographic measurements are used to determine the temperatures reached by the focus of a modified Fresnel solar concentrator, where a container is placed to take advantage of this energy. The three steps of this investigation are: (i) the edges of each thermographic image are obtained by means of...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723010053 |
| _version_ | 1797804575602769920 |
|---|---|
| author | Marco A. Flores Fernando E. Serrano Carlos Cadena Jose C. Alvarez |
| author_facet | Marco A. Flores Fernando E. Serrano Carlos Cadena Jose C. Alvarez |
| author_sort | Marco A. Flores |
| collection | DOAJ |
| description | Thermographic measurements are used to determine the temperatures reached by the focus of a modified Fresnel solar concentrator, where a container is placed to take advantage of this energy. The three steps of this investigation are: (i) the edges of each thermographic image are obtained by means of a Butterworth low-pass filter, (ii) the temperature grid in the solar concentrator is obtained by means of a feature extraction algorithm, and finally: (iii) the classification will be done through a C-means hard clustering algorithm selecting the center of each cluster to accurately find the temperature region to generate the isotherms and extract the temperatures with this algorithm. With the hard C-means algorithm, isotherm level curves and temperature graphs are obtained. Subsequently, two analyzes are carried out to validate that the original unprocessed thermographic images correspond spatially and in their spectrum with the processed images, with the aim of corroborating the acuteness of the digital image processing methodology implemented in this research. Finally, a correlation analysis is performed to validate the temperature matches of the original thermographic images. |
| first_indexed | 2024-03-13T05:39:17Z |
| format | Article |
| id | doaj.art-1c8efd9f062449ce870c4ecd95be9d0e |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-13T05:39:17Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-1c8efd9f062449ce870c4ecd95be9d0e2023-06-14T04:33:29ZengElsevierEnergy Reports2352-48472023-09-019312321Thermographic image processing analysis in a solar concentrator with hard C-means clusteringMarco A. Flores0Fernando E. Serrano1Carlos Cadena2Jose C. Alvarez3Instituto de Investigación en Energía IIE, Universidad Nacional Autónoma de Honduras (UNAH), Tegucigalpa, HondurasInstituto de Investigación en Energía IIE, Universidad Nacional Autónoma de Honduras (UNAH), Tegucigalpa, HondurasInstituto de Energía No Convencional, Universidad de Salta, Salta, ArgentinaUniversidad Peruana de Ciencias Aplicadas, Lima, Peru; Corresponding author.Thermographic measurements are used to determine the temperatures reached by the focus of a modified Fresnel solar concentrator, where a container is placed to take advantage of this energy. The three steps of this investigation are: (i) the edges of each thermographic image are obtained by means of a Butterworth low-pass filter, (ii) the temperature grid in the solar concentrator is obtained by means of a feature extraction algorithm, and finally: (iii) the classification will be done through a C-means hard clustering algorithm selecting the center of each cluster to accurately find the temperature region to generate the isotherms and extract the temperatures with this algorithm. With the hard C-means algorithm, isotherm level curves and temperature graphs are obtained. Subsequently, two analyzes are carried out to validate that the original unprocessed thermographic images correspond spatially and in their spectrum with the processed images, with the aim of corroborating the acuteness of the digital image processing methodology implemented in this research. Finally, a correlation analysis is performed to validate the temperature matches of the original thermographic images.http://www.sciencedirect.com/science/article/pii/S2352484723010053Digital image processingThermographic imageAnalysisRenewable energiesSolar energyClustering |
| spellingShingle | Marco A. Flores Fernando E. Serrano Carlos Cadena Jose C. Alvarez Thermographic image processing analysis in a solar concentrator with hard C-means clustering Energy Reports Digital image processing Thermographic image Analysis Renewable energies Solar energy Clustering |
| title | Thermographic image processing analysis in a solar concentrator with hard C-means clustering |
| title_full | Thermographic image processing analysis in a solar concentrator with hard C-means clustering |
| title_fullStr | Thermographic image processing analysis in a solar concentrator with hard C-means clustering |
| title_full_unstemmed | Thermographic image processing analysis in a solar concentrator with hard C-means clustering |
| title_short | Thermographic image processing analysis in a solar concentrator with hard C-means clustering |
| title_sort | thermographic image processing analysis in a solar concentrator with hard c means clustering |
| topic | Digital image processing Thermographic image Analysis Renewable energies Solar energy Clustering |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723010053 |
| work_keys_str_mv | AT marcoaflores thermographicimageprocessinganalysisinasolarconcentratorwithhardcmeansclustering AT fernandoeserrano thermographicimageprocessinganalysisinasolarconcentratorwithhardcmeansclustering AT carloscadena thermographicimageprocessinganalysisinasolarconcentratorwithhardcmeansclustering AT josecalvarez thermographicimageprocessinganalysisinasolarconcentratorwithhardcmeansclustering |