Image Retrieval by Matching Sketches and Images

Authors

  • Shashank Tiwari JSPM’S RSCOE, University of Pune, Maharashtra, India
  • Suhas Gavhane JSPM’S RSCOE, University of Pune, Maharashtra, India
  • Pramod Ghute JSPM’S RSCOE, University of Pune, Maharashtra, India
  • Avinash Madpelliwar JSPM’S RSCOE, University of Pune, Maharashtra, India
  • M.S. Shaikh Information Technology Dept., University of Pune, Maharashtra, India

Abstract

The proposed system provides a unique scheme for Content based image retrieval (CBIR) using sketches. CBIR is the application of computer vision to the image retrieval problem
is the problem of searching for digital images in the large database. Content based means; the search will analyze the contents of the images. The term ‘content’ may refer
to colors, shapes, textures or any other information that can be derived from the image itself. The main aim of CBIR is to extract visual content of an image automatically like color, texture, shape or any combination of them. The goal is to retrieve all the images whose content is similar to those of query image. Even a query sketch which is given as input will display related images from the frequently used database. Sketch will be drawn in a provided drawing area in the proposed system.

Keywords: CBIR, query image, preprocessing, content

References

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Published

2020-02-29

Issue

Vol. 1 No. 1 (2014)

Section

Research Articles

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