Skeleton based Signatures for Content based Image Retrieval | Zendy

M. Narayana | Zendy; Sandeep V.M | Zendy; Subhash Kulkarni | Zendy

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Skeleton based Signatures for Content based Image Retrieval

Author(s) -

M. Narayana,

Sandeep V.M,

Subhash Kulkarni

Publication year - 2011

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/2898-3793

Subject(s) - computer science , skeleton (computer programming) , content based image retrieval , information retrieval , image retrieval , image (mathematics) , content (measure theory) , artificial intelligence , computer vision , mathematics , mathematical analysis , programming language

Content Based Image Retrieval with fast and high matching retrieving ability is the need of the day for shape mining. A simple, fast, robust, invariant and efficient Content Based image Retrieval system with shape signatures derived from skeleton, region and boundary of the object is presented. The shape signatures derived from distance mapped function are invariant to rotation and scaling.

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