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Gauda, Carely Gómez González, Daniel Rodríguez González, Juan Tinguaro Yáñez Gestoso, Francisco Javier Montero De Juan, Francisco Javier 2023-06-18T06:54:05Z 2023-06-18T06:54:05Z 2016 Guada, C., Gómez, D., Rodríguez, Jt., Yáñez, J., Montero, J.: Classifying image analysis techniques from their output: IJCIS. 9, 43 (2016). https://doi.org/10.1080/18756891.2016.1180819 1875-6883 10.1080/18756891.2016.1180819 https://hdl.handle.net/20.500.14352/24537 https//doi.org/10.1080/18756891.2016.1180819 http://www.tandfonline.com/doi/abs/10.1080/18756891.2016.1180819?journalCode=tcis20 In 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. eng restricted access Classifying image analysis techniques from their output journal article