000124426 001__ 124426 000124426 005__ 20241125101135.0 000124426 0247_ $$2doi$$a10.3390/e25010159 000124426 0248_ $$2sideral$$a132881 000124426 037__ $$aART-2023-132881 000124426 041__ $$aeng 000124426 100__ $$aEspinosa Medina, Ricardo Alonso 000124426 245__ $$aEspEn graph for the spatial analysis of entropy in images 000124426 260__ $$c2023 000124426 5060_ $$aAccess copy available to the general public$$fUnrestricted 000124426 5203_ $$aThe quantification of entropy in images is a topic of interest that has had different applications in the field of agronomy, product generation and medicine. Some algorithms have been proposed for the quantification of the irregularity present in an image; however, the challenges to overcome in the computational cost involved in large images and the reliable measurements in small images are still topics of discussion. In this research we propose an algorithm, EspEn Graph, which allows the quantification and graphic representation of the irregularity present in an image, revealing the location of the places where there are more or less irregular textures in the image. EspEn is used to calculate entropy because it presents reliable and stable measurements for small size images. This allows an image to be subdivided into small sections to calculate the entropy in each section and subsequently perform the conversion of values to graphically show the regularity present in an image. In conclusion, the EspEn Graph returns information on the spatial regularity that an image with different textures has and the average of these entropy values allows a reliable measure of the general entropy of the image. 000124426 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000124426 590__ $$a2.1$$b2023 000124426 592__ $$a0.541$$b2023 000124426 591__ $$aPHYSICS, MULTIDISCIPLINARY$$b44 / 112 = 0.393$$c2023$$dQ2$$eT2 000124426 593__ $$aElectrical and Electronic Engineering$$c2023$$dQ2 000124426 593__ $$aPhysics and Astronomy (miscellaneous)$$c2023$$dQ2 000124426 593__ $$aMathematical Physics$$c2023$$dQ2 000124426 593__ $$aInformation Systems$$c2023$$dQ2 000124426 594__ $$a4.9$$b2023 000124426 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000124426 773__ $$g25, 1 (2023), 159 [10 pp]$$pEntropy$$tENTROPY$$x1099-4300 000124426 8564_ $$s5276042$$uhttps://zaguan.unizar.es/record/124426/files/texto_completo.pdf$$yVersión publicada 000124426 8564_ $$s2687568$$uhttps://zaguan.unizar.es/record/124426/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000124426 909CO $$ooai:zaguan.unizar.es:124426$$particulos$$pdriver 000124426 951__ $$a2024-11-22-12:00:22 000124426 980__ $$aARTICLE