A foreground segmentation method for mobile image retrieval system | IEEE Conference Publication | IEEE Xplore

A foreground segmentation method for mobile image retrieval system


Abstract:

Content-based image retrieval (CBIR) is an application of computer vision techniques to the image retrieval problem. That is, the problem of searching for digital images ...Show More

Abstract:

Content-based image retrieval (CBIR) is an application of computer vision techniques to the image retrieval problem. That is, the problem of searching for digital images in large database. In this paper, we apply an image segmentation technique to an image retrieval system which is designed for the use on mobile devices. Given an image captured by the mobile devices, edge detection and region merging mechanisms are used in this segmentation technique to extract the ROI from a complex background scene. The proposed method automatically merges the regions that are initially segmented by mean shift segmentation, and then effectively extracts the object contour by the labeled regions as either background or foreground. With no users interaction, the experimental results show the method is more effective than other automatic segmentation methods.
Date of Conference: 21-23 September 2012
Date Added to IEEE Xplore: 24 January 2013
ISBN Information:
Print ISSN: 2374-0272
Conference Location: Beijing, China

References

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