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In a short time stamp, just the major elements remain. This work proposes a new approach for producing images with different amounts of edges representing different levels of relevance. Our method uses superpixel to suppress image details, followed by Globalized Probability of Boundary (gPb) and Canny edge detection algorithms to create an image containing different number of edges. After that, an edge analysis step detects whose edges are the most relevant for the scene. The results are presented for the BSDS500 dataset and they are compared to other edge and contour detection algorithms by quantitative and qualitative means with very satisfactory results. <\/jats:p>","DOI":"10.1142\/s0219467823500092","type":"journal-article","created":{"date-parts":[[2021,12,30]],"date-time":"2021-12-30T13:29:40Z","timestamp":1640870980000},"source":"Crossref","is-referenced-by-count":0,"title":["Edge Detection in Natural Scenes Inspired by the Speed Drawing Challenge"],"prefix":"10.1142","volume":"23","author":[{"given":"Marcos Jos\u00e9","family":"Can\u00eajo","sequence":"first","affiliation":[{"name":"Centro de Informatica, Universidade Federal de Pernambuco, Av. Jorn. Anbal Fernandes, s\/n \u2014 Cidade Universitria, Recife 50740-560, Brazil"}]},{"given":"Carlos Alexandre","family":"Barros de Mello","sequence":"additional","affiliation":[{"name":"Centro de Informatica, Universidade Federal de Pernambuco, Av. Jorn. 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