Abstract
In this paper, an unsupervised (e.g. autonomous) shape recognition is performed in a structured environment with the help of rotation, translation and scale invariant parameters and fuzzy logic. In a practical scenario, it is undoubtedly difficult to apply a sharp cut-off for defining a particular object shape using an object parameter in crisp parameter based object recognition. To overcome this difficulty, we have proposed to use a well-known concept of fuzzy logic. Applying object’s shape parameters as fuzzy logic inputs, it was observed that oval-shaped, triangular, rectangular, pentagonal and hexagonal objects are autonomously perceived with an overall recognition rate of 91.45 %. The proposed scheme has also been compared with two existing algorithms, presents better results. The detailed description of the results is provided towards the end of this paper.
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Banerjee, J., Banerji, S., Ray, R., Shome, S.N. (2016). Fuzzy Based Object Shape Recognition Using Translation, Rotation and Scale Invariant Parameters—An Automatic Approach. In: Mandal, D.K., Syan, C.S. (eds) CAD/CAM, Robotics and Factories of the Future. Lecture Notes in Mechanical Engineering. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2740-3_8
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DOI: https://doi.org/10.1007/978-81-322-2740-3_8
Publisher Name: Springer, New Delhi
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