International Journal of Innovative Research and Development

Sonal Shinde , Priya Nanaware , Godavari Kudlikar , Harpreetkaur Nagi

Abstract

Content Based Image Retrieval (CBIR) is an automatic process to search relevant images based on user input. The input could be parameters, sketches or example images. A typical CBIR process first extracts the image features and store them efficiently. Then it compares with images from the database and returns the results. Most of the available image search tools, such as Google Images and Yahoo! Image search, are based on textual annotation of images. In these tools, images are manually annotated with keywords and then retrieved using text-based search methods. The performances of these systems are not satisfactory. This paper aims to introduce the problems and challenges concerned with the design and the creation of CBIR systems, which is based on a free hand sketch i.e. Sketch Based Image Retrieval - SBIR using Wavelet Transform.

Keywords

Content Based Image Retrieval, Sketch Based Image Retrieval, Wavelet Transform, Lucene Indexing, Fuzzy C-means Algorithm.

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