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Image database retrieval using sketched queries

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conference contribution
posted on 2024-11-13, 23:04 authored by A Chalechale, Golshah NaghdyGolshah Naghdy, Prashan PremaratnePrashan Premaratne
This paper presents a novel approach for sketch-based image retrieval based on low-level features. It enables the measuring of the similarity among full color multi-component images within a database (models) and simple black and white user sketched queries. It needs no cost intensive image segmentation. Strong edges of the model image and morphologically thinned version of the query image are used for image abstraction. Angular-radial decomposition of pixels in the abstract images is used to extract new compact and affine invariant features. Comparative results, employing an art database (ArT BANK), show significant improvement in average normalized modified retrieval rank (ANMRR) using the proposed features.

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Citation

This article was originally published as: Chalechale, A, Naghdy, G & Pramaratne, P, Image database retrieval using sketched queries, International Conference on Image Processing(ICIP '04), 24-27 October 2004, 1, 433-436. Copyright IEEE 2004.

Parent title

Proceedings - International Conference on Image Processing, ICIP

Volume

1

Pagination

433-436

Language

English

RIS ID

11301

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