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dc.contributor.authorRajinikanth, V.
dc.contributor.authorKadry, Seifedine
dc.contributor.authorGonzález-Crespo, Rubén
dc.contributor.authorVerdú, Elena
dc.date2021-12
dc.date.accessioned2022-05-11T11:42:38Z
dc.date.available2022-05-11T11:42:38Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/13072
dc.description.abstractIn the literature, a considerable number of image processing and evaluation procedures are proposed and implemented in various domains due to their practical importance. Thresholding is one of the pre-processing techniques, widely implemented to enhance the information in a class of gray/RGB class pictures. The thresholding helps to enhance the image by grouping the similar pixels based on the chosen thresholds. In this research, an entropy assisted threshold is implemented for the benchmark RGB images. The aim of this work is to examine the thresholding performance of well-known entropy functions, such as Kapur’s and Tsallis for a chosen image threshold. This work employs a Moth-Flame-Optimization (MFO) algorithm to support the automatic identification of the finest threshold (Th) on the benchmark RGB image for a chosen threshold value (Th=2,3,4,5). After getting the threshold image, a comparison is performed against its original picture and the necessary Picture-Quality-Values (PQV) is computed to confirm the merit of the proposed work. The experimental investigation is demonstrated using benchmark images with various dimensions and the outcome of this study confirms that the MFO helps to get a satisfactory result compared to the other heuristic algorithms considered in this study.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 7, nº 2
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/3055es_ES
dc.rightsopenAccesses_ES
dc.subjectfinest thresholdes_ES
dc.subjectkapur’s entropyes_ES
dc.subjecttsallis entropyes_ES
dc.subjectmoth-flame-optimizationes_ES
dc.subjectimage processinges_ES
dc.subjectIJIMAIes_ES
dc.subjectWOS(2)es_ES
dc.titleA Study on RGB Image Multi-Thresholding using Kapur/Tsallis Entropy and Moth-Flame Algorithmes_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttps://doi.org/10.9781/ijimai.2021.11.008


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