Abstract
Edge in an image depends on the viewer’s perspective i.e., some viewers may feel it as edge and some may not. Fuzzy logic can be used to solve this partial truth value concept. Many fuzzy-based edge detection methods have been proposed till now, but most of them used the static fuzzy inference system for edge detection, in which we have to change the membership functions for each image in order to get better results. Therefore, to overcome this drawback, we proposed fuzzy logic-based edge detection algorithm with dynamic generation of fuzzy interface system (FIS). The performance of the proposed method is demonstrated through computer simulation results over Sobel, Canny, EFLEDG, and EDFLM edge detection methods in terms of both subjective and fidelity criteria and our proposed method gave good results in terms of F-Measure and visual quality of resultant edge images.
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Guruteja, V.V., Biswas, M. (2018). Edge Detection Algorithm Using Dynamic Fuzzy Interface System. In: Saini, H., Singh, R., Reddy, K. (eds) Innovations in Electronics and Communication Engineering . Lecture Notes in Networks and Systems, vol 7. Springer, Singapore. https://doi.org/10.1007/978-981-10-3812-9_30
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DOI: https://doi.org/10.1007/978-981-10-3812-9_30
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