Searching of Images Based on Content Using Blobs

Yaghoub Karimilivari, Ladan Vasebi, Solmaz Vasebi

Islamic Azad University, Sarab Branch, Sarab, Iran.
Sama Technical and Vocational Training College, Islamic Azad University, Sarab Branch, Sarab, Iran.

DOI: 10.4236/jsea.2012.52013                

Abstract

Now a day’s image searching is still a challenging problem in content based image retrieval (CBIR) system. Most system operates on all images without pre-sorting the images. The image search result contains many unrelated image. The aim of this research is to propose a new method for content based image indexing and research based on blobs feature extraction and existing edges in the image and classification of image to different type and to search image which are similar the given research.

Keywords

Indexing; Retrieval; Blob; Classification; Neural Network; Image; Edge

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	G. Iannizzotto, A. Puliafito and L. Vita, “Design and Implementation of a Content-Based Image RetrievalTool,” Proceedings of IEEE PDSE’97, Boston, 17-18 May 1997, pp. 304-310.
[2]	H. Takahashi and M. Nakajima, “Graph-based color image segmentation using edge magnitude for image understanding,” Proceedings of International Workshop on Advanced Image Technology, February 2001, pp. 93-96.
[3]	W. Ma and B. Manjunath, “NeTra: A Toolbox for Navigating Large Images Databases,” ACM Multimedia Systems Journal, in Press.
[4]	H. Takahashi and M. Nakajima, “Color Image Segmentation Using Region Growing Based on Neighbouring Region Features,” Proceedings of International Workshop on Advanced Image Technology, Nagasaki, 21-22 January 2002, pp. 97-102.
[5]	C. Carson, M. Thomas, S. Belongie, J. M. Hellerstein and J. Malik, “Blobworld: A System for Region-Based Image Indexing and Retrieval,” 3rd International Conference on Visual Information Systems, Amsterdam, 2-4 June 1999.
[6]	J. Zheng and C. H. C. Leung, “Automatic Image Indexing for Rapid Content-Based Retrieval,” Proceedings of IEEE International Workshop on Multimedia Database Management Systems, New York, 14-16 August 1996, pp. 38-45. doi:10.1109/MMDBMS.1996.541852
[7]	A. K. Jain and A. Vailaya, “Shape-Based Retrieval: A Case Study with Trademark Image Database,” Patter Recognition, Vol. 31, No. 9, 1998, pp. 1369-1390. doi:10.1016/S0031-3203(97)00131-3
[8]	G. Qiu and S. Sudirman, “A Binary Color Vision Framework for Content Based Image Indexing,” School of Computer Science, The University of Nottingham, Nottingham, 2000.
[9]	H. A. Moghaddam, T. T. Khajoie, A. H. Rouhi and M. S. Tarzjan, “Wavelet Correlogram: A New Approach for Image Indexing and Retrieval,” 2005.
[10]	M. Mirmehdi and R. Perissamy, “Perceptual Image Indexing and Retrieval,” 2001
[11]	F. Mahmoudi, J. Shanbehzadeh, A.-M. Eftekhari-Moghadam and H. S. Zadeh, “A New Non-Segmentation Shape-Based Image Indexing Method,” 2003.
[12]	D. G. Ruiz, H. Takahashi and M. Nakajima, “Image Categorization Using Color Blobs in a Mobile Environment,” Eurographics, 2003.