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2016 | OriginalPaper | Buchkapitel

Fuzzy Based Object Shape Recognition Using Translation, Rotation and Scale Invariant Parameters—An Automatic Approach

verfasst von : Jeet Banerjee, Soma Banerji, Ranjit Ray, Sankar Nath Shome

Erschienen in: CAD/CAM, Robotics and Factories of the Future

Verlag: Springer India

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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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Metadaten
Titel
Fuzzy Based Object Shape Recognition Using Translation, Rotation and Scale Invariant Parameters—An Automatic Approach
verfasst von
Jeet Banerjee
Soma Banerji
Ranjit Ray
Sankar Nath Shome
Copyright-Jahr
2016
Verlag
Springer India
DOI
https://doi.org/10.1007/978-81-322-2740-3_8

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