Archive
Volume 1, Issue 1
International Journal of Science and Engineering Applications (IJSEA)
Volume 1, Issue 1 - November 2012
Sketch Based Image Retrieval Approach Using Gray Level Co-Occurrence Matrix
Abstract:
This work focuses on Content Based Image Retrieval (CBIR) system using sketches, which is one of the most accepted, rising research areas of the digital image processing. The majority of the available image searching tools, such as Google Images and Yahoo Image search, are based on textual annotation of digital images. In these searching tools, images are manually annotated with keywords and then retrieved using text-based search techniques. The presentations of these systems are not satisfactory. The aim of CBIR is to extract visual content of an image automatically, like color, texture, or shape. The Proposed method used to introduce the design and the creation of CBIR systems, which is based on a free hand sketch which is known as Sketch based image retrieval (SBIR). In this technique, texture is used as feature for image retrieval. The texture features are obtained by using Gray-Level Co-occurrence Matrix (GLCOM).This process can be used as coarse level in hierarchical CBIR that reduces the database size from very large set to a small one. This small database can further be examined thoroughly using the wavelets, edge detection, etc. The sketch based system allows users an intuitive access to searching tools. This process can be implemented and simulated in MATLAB.
Keywords: Image, Gray level co-occurrence matrix (GLCOM).
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