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- W3208131754 abstract "This paper addresses the problem of translation, rotation and scale invariant recognition and classification of objects. A new set of translation and rotation invariant features are introduced called sigma-pi bond model in a lattice. They are the magnitude of energy required to disintegrate the particle from an object also called bond dissociation energy. The scale invariance of the energy level features of an object is obtained by using systematic computation of Hu’s seven moments that are used in the matching stage of classification and analysis of binary object shape. The proposed algorithm has been tested on a variety of binary objects data sets, including Kimia silhouettes and MPEG-7 CE-Shape-1 databases. In all the experiments, our approach demonstrate effective performance compared with other algorithms." @default.
- W3208131754 created "2021-11-08" @default.
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- W3208131754 date "2021-08-26" @default.
- W3208131754 modified "2023-09-27" @default.
- W3208131754 title "Fragment of Binary Object Contour Points on the Basis of Energy Level for Shape Classification" @default.
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- W3208131754 doi "https://doi.org/10.1109/spin52536.2021.9566080" @default.
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