Content-Based Image Retrieval Based on Shape Similarity Calculation

In the content-based image retrieval technology, the performance of retrieval system using only a single image feature is generally unsatisfactory, and therefore the image retrieval system using two or more image features is more often used. When there is the target deformation or the size variation, the performance of image retrieval system using only shape features is not satisfactory, too. To solve these problems, in this paper, the extraction of image salient region and a shape representation methods of describing the image content are proposed, then they are used with image texture and color features to implement image retrieval. Experimental results show that the proposed image retrieval system can provide very good retrieval performance.

[1]  Bertrand Zavidovique,et al.  Content based image retrieval using motif cooccurrence matrix , 2004, Image Vis. Comput..

[2]  Huchuan Lu,et al.  Saliency detection via a unified generative and discriminative model , 2016, Neurocomputing.

[3]  A. M. Patil,et al.  Content Based Image Retrieval Using Color and Shape Features , 2012 .

[4]  Anil K. Jain,et al.  Image retrieval using color and shape , 1996, Pattern Recognit..

[5]  B. S. Adiga,et al.  A Universal Model for Content-Based Image Retrieval , 2008 .

[6]  Qi Zhao,et al.  Learning saliency-based visual attention: A review , 2013, Signal Process..

[7]  Pritee Khanna,et al.  Content-based image retrieval embedded with agglomerative clustering built on information loss , 2016, Comput. Electr. Eng..

[8]  Shan Suthaharan,et al.  Support Vector Machine , 2016 .

[9]  Xiangyang Wang,et al.  Content-based image retrieval by integrating color and texture features , 2012, Multimedia Tools and Applications.

[10]  Lei Zhang,et al.  Image retrieval based on micro-structure descriptor , 2011, Pattern Recognit..

[11]  Hossein Nezamabadi-pour,et al.  Information fusion between short term learning and long term learning in content based image retrieval systems , 2013, Multimedia Tools and Applications.

[12]  Subrahmanyam Murala,et al.  Expert content-based image retrieval system using robust local patterns , 2014, J. Vis. Commun. Image Represent..

[13]  Manoj D. Chaudhary,et al.  Fusion of local and global features using Stationary Wavelet Transform for efficient Content Based Image Retrieval , 2014, 2014 IEEE Students' Conference on Electrical, Electronics and Computer Science.

[14]  Po-Whei Huang,et al.  Image retrieval by texture similarity , 2003, Pattern Recognit..

[15]  Kai-Kuang Ma,et al.  Fuzzy color histogram and its use in color image retrieval , 2002, IEEE Trans. Image Process..

[16]  Yu Shuchun,et al.  Image Retrieval Based on Multi-feature Fusion , 2014, 2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control.

[17]  Jianzhong Wang,et al.  A novel image retrieval method based on hybrid information descriptors , 2014, J. Vis. Commun. Image Represent..

[18]  Campbell Wilson,et al.  Feature Re-weighting in Content-Based Image Retrieval , 2006, CIVR.

[19]  Xiangyang Wang,et al.  Robust image retrieval based on color histogram of local feature regions , 2010, Multimedia Tools and Applications.

[20]  Yuan Yan Tang,et al.  Multiview Hessian discriminative sparse coding for image annotation , 2013, Comput. Vis. Image Underst..

[21]  Vipin Tyagi,et al.  Content based image retrieval based on relative locations of multiple regions of interest using selective regions matching , 2014, Inf. Sci..

[22]  Jianyu Yang,et al.  Invariant multi-scale descriptor for shape representation, matching and retrieval , 2016, Comput. Vis. Image Underst..

[23]  Cong Jin,et al.  Automatic image annotation using feature selection based on improving quantum particle swarm optimization , 2015, Signal Process..

[24]  Sanjay Kumar Dubey,et al.  Comparative Analysis of K-Means and Fuzzy C- Means Algorithms , 2013 .

[25]  Rong-Tai Chen,et al.  A smart content-based image retrieval system based on color and texture feature , 2009, Image Vis. Comput..

[26]  Cong Jin,et al.  Image distance metric learning based on neighborhood sets for automatic image annotation , 2016, J. Vis. Commun. Image Represent..

[27]  Min Huang,et al.  Content-based image retrieval technology using multi-feature fusion , 2015 .

[28]  M. Esmel ElAlami,et al.  A novel image retrieval model based on the most relevant features , 2011, Knowl. Based Syst..

[29]  Chun Qi,et al.  Salient region detection through sparse reconstruction and graph-based ranking , 2015, J. Vis. Commun. Image Represent..