Journal of the Korean Institute of Telematics and Electronics C (전자공학회논문지C)
- Volume 34C Issue 4
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- Pages.36-44
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- 1997
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- 1226-5853(pISSN)
Context-free multiple-object segmentation using attention operator based on modified generalized symmetry transform
일반화 대칭변환을 변형한 관심 연산자에 의한 사전 정보없는 다중 물체 분할
Abstract
An efficient context-free multiple-object segmentation using attention operator based on modified generalized symmetry transform is proposed and implemented by modifying a radial basis function network. By using the difference of intensity gradient, instead of te intensity gradient itself, in generalized symmetry tranform so as to make the attention operator to preserve the edges of the objects shape, an efficient context-free multiple-object segementation is proposed in which no a priori shape informtion on the objects is requried. The attention operator is implemented by using a modified radial basis function network which can reflect symmetry, and by using te edge pyramid of the input image, both of the local and the global symmetry of the objects are reflected simultaneously to make the multiple-object with different sizes be segmented with a singel fixed-size
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