Content Based Image Retrieval System for Multi Object Images Using Combined Features

This paper presents content-based image retrieval (CBIR) system for the multiobject images. The goal is to retrieve those images from the database, which contains the query object, which is a difficult problem when an image consists of multiple objects with arbitrary pose. In this paper we propose a method that uses GVF active contour for the efficient shape segmentation in a multiple object scenario. We have developed a novel technique for automatic initialisation of active contour. Using only shape information degrades performance in pose varying cases. As an attempt towards mitigating this problem, colour features are also used. The preliminary results obtained by our approach are very encouraging

[1]  Zhiyong Wang,et al.  Shape based leaf image retrieval , 2003 .

[2]  Michael S. Lew,et al.  IRUS: image retrieval using shape , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[3]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[4]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.

[5]  Scott T. Acton,et al.  Image retrieval using segmentation , 2003, IEEE Systems and Information Engineering Design Symposium, 2003.

[6]  Ilaria Bartolini,et al.  WARP: accurate retrieval of shapes using phase of Fourier descriptors and time warping distance , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Scott T. Acton,et al.  An object-based image retrieval system for digital libraries , 2006, Multimedia Systems.

[8]  Markus A. Stricker,et al.  Similarity of color images , 1995, Electronic Imaging.

[9]  Hanan Samet,et al.  Content-based image retrieval using Fourier descriptors on a logo database , 2002, Object recognition supported by user interaction for service robots.

[10]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[11]  Andrea Kutics,et al.  An object-based image retrieval system using an inhomogeneous diffusion model , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[12]  Jerry L. Prince,et al.  Gradient vector flow: a new external force for snakes , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.