Abstract
We propose an image retrieval method based on interest image region by asymmetrical blocking. An image is segmented into the interest region and background region on a certain rule. For the interest image regions, the color histogram of the uneven blocks is extracted as the color characteristic. We also collect the mean and variance value of the Gabor filtering results of background blocks as texture features of the background image. Then, the images can be retrieved by synthesizing the image color and texture features. We test our approaches by analyzing the results of recall and precision indicators for the Corel image database. The experiment results show that the proposed method performs effectively and accurately, which is more effective to retrieve the distant-view images, and the achieved precision increases by about 10% without loss of the retrieval call compared with some other traditional search methods.
Article PDF
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
References
Liao Hancheng. Image Retrieval Based on MD5 [C]// International Conference on Advanced Computer Theory and Engineering 2008. Phuket: IEEE Press, 2008: 989–991.
Haralick R M, Shanmugam K, Dinstein I. Textural features for image classification Systems [J]. IEEE Trans System, Man and Cybernetics, 1973, 3(6): 610–621.
Zhou Mingquan, Geng Guohua, Wei Na. Content-Based Image Retrieval Techniques[M]. Beijing: Tsinghua University Press, 2007(Ch).
Song Yan, Liu Fang’ai. Image retrieval based on color and texture [J]. Computer Engineering and Design, 2007, 28(17): 4180–4182.
Xu Huiying, Yuan Jie, Zhao Jianmin. Image retrieval based on color and texture [J]. Computer Science, 2009, 36(5): 282–286(Ch).
Xu Xiangli, Zhang Libiao, Liu Xiangdong, et al. Image retrieval using multi-granularity features of color and texture [C]//Fifth International Conference on Fuzzy Systems and Knowledge Discovery. Jinan: IEEE Press, 2008: 54–58.
Meng Fanjie, Guo Baolong, Li Xinwei, et al. New image retrieval method based on convex hull of interest points [J]. Journal of Optoelectronics Laser, 2010, 21(6): 936–939(Ch).
Zhang Wubin. Image Retrieval Based on the Color Feature [D]//Chengdu: School of Information and Software Engineering, University of Electronic Science and Technology of China, 2009.
Wang Xiangyang, Lu Tingting. A robust content-based color image retrieval using multiple features[J]. Journal of Image and Graphics, 2007, 12(10): 1748–1760(Ch).
Su Xiaohong, Ding Jin, Ma Peijun. Image retrieval by convex hulls of interest points and SVM-based weighted feedback [J]. Chinese Journal of Computers, 2009, 32(11): 2221–2228(Ch).
Sastry C S, Ravindranath M, Pujari A K, et al. A modified Gabor function for content based image retrieval[J]. Pattern Recognition Letters, 2007, 28: 293–300.
Jain A K, Farrokhnia F. Unsupervised texture segmentation using gabor filter [J]. Pattern Recognition, 1991, 24(12): 1167–1186.
Author information
Authors and Affiliations
Corresponding author
Additional information
Foundation item: Supported by the National Natural Science Foundation of China (50803016)
Biography: PENG Xiaohua, female, Master candidate, research direction: image processing and image retrieval.
Rights and permissions
About this article
Cite this article
Peng, X., Zhu, Y. & Lin, Z. New method of image retrieval based on interest image region blocks and comprehensive features. Wuhan Univ. J. Nat. Sci. 17, 55–60 (2012). https://doi.org/10.1007/s11859-012-0804-9
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11859-012-0804-9