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A New Edge Detection Method Based on Global Evaluation Using Supervised Classification Algorithms

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Flores Vidal, Pablo Arcadio and Villarino, Guillermo and Gómez, Daniel and Montero, Javier (2019) A New Edge Detection Method Based on Global Evaluation Using Supervised Classification Algorithms. International Journal of Computational Intelligence Systems, 12 (1). pp. 367-378. ISSN 1875-6883

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Official URL: https://doi.org/10.2991/ijcis.2019.125905653




Abstract

Traditionally, the last step of edge detection algorithms, which is called scaling-evaluation, produces the final output classifying each pixel as edge or nonedge. This last step is usually done based on local evaluation methods. The local evaluation makes this classification based on measures obtained for every pixel. By contrast, in this work, we propose a global evaluation approach
based on the idea of edge list to produce a solution that suits more with the human perception. In particular, we propose a new evaluation method that can be combined with any classical edge detection algorithm in an easy way to produce a novel edge detection algorithm. The new global evaluation method is divided in four steps: in first place we build the edge lists, that we have called edge segments. In second place we extract the characteristics associated to each segment: length, intensity, location, and so on. In the third step we learn the characteristics that make a segment good enough to become an edge. At the fourth step, we apply the classification task. In this work we have built the ground truth of edge list necessary for the supervised classification. Finally, we test the effectiveness of this algorithm against other classical algorithms based on local evaluation approach.


Item Type:Article
Additional Information:

P. A. Flores-Vidal, G. Villarino, D. Gómez, and J. Montero, “A New Edge Detection Method Based on Global Evaluation Using Supervised Classification Algorithms,” vol. 12, no. 1, pp. 367–378, 2019, doi: https://doi.org/10.2991/ijcis.2019.125905653.

Uncontrolled Keywords:Image processing, Edge detection, Global evaluation, Edge segments Supervised classification
Subjects:Sciences > Mathematics > Cybernetics
ID Code:63017
Deposited On:10 Nov 2020 19:15
Last Modified:11 Nov 2020 09:10

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