Gauda, CarelyGómez González, DanielRodríguez González, Juan TinguaroYáñez Gestoso, Francisco JavierMontero De Juan, Francisco Javier2023-06-182023-06-182016Guada, C., Gómez, D., Rodríguez, Jt., Yáñez, J., Montero, J.: Classifying image analysis techniques from their output: IJCIS. 9, 43 (2016). https://doi.org/10.1080/18756891.2016.11808191875-688310.1080/18756891.2016.1180819https://hdl.handle.net/20.500.14352/24537Special Issue: A Humble Tribute to 50 Years of Fuzzy Sets, guested edited by Luis Martínez and Jie LuIn this paper we discuss some main image processing techniques in order to propose a classification based upon the output these methods provide. Because despite a particular image analysis technique can be supervised or unsupervised, and can allow or not the existence of fuzzy information at some stage, each technique has been usually designed to focus on a specific objective, and their outputs are in fact different according to each objective. Thus, they are in fact different methods. But due to the essential relationship between them they are quite often confused. In particular, this paper pursues a clarification of the differences between image segmentation and edge detection, among other image processing techniques.engjournal articlehttps//doi.org/10.1080/18756891.2016.1180819http://www.tandfonline.com/doi/abs/10.1080/18756891.2016.1180819?journalCode=tcis20restricted access510.64Image segmentationImage classificationEdge detectionFuzzy setsMachine learningGraphs.Lógica simbólica y matemática (Matemáticas)1102.14 Lógica Simbólica