Open Access Open Access  Restricted Access Subscription or Fee Access

A Brief Review on Content Based Image Retrieval with Its Techniques

Beerbal Solanki, Punit K. Johari


In today’s time the growth in digitization of images, diagrams, paintings and explosion of World Wide Web (www), has made classical keyword based on search for an image—an ineffective technique for the retrieval of required image documents. Content-based image retrieval (CBIR) is used to efficiently retrieve required images from fairly large databases. The main problem is to extract the image features that effectively represent image content in a database. In this paper we present a review of CBIR such as color, texture, shape feature including color, color histogram and also study of various researchers and their applications.


Cite this Article
Solanki B, Johari PK. A Brief Review on Content Based Image Retrieval with its Techniques. Journal of Open Source Developments. 2015; 2(2): 1–8p.


CBIR, color, shape, texture, feature extraction

Full Text:



Mistry Y, Ingole DT. Survey on Content Based Image Retrieval Systems. International Journal of Innovative Research in Computer and Communication Engineering. 2013; 1(2): 32–40p.

Aiswarya V, Kumar TS. Survey on Content Based Image Retrieval Techniques. IJRET. 2013; 3(7): 754–7p.

Jaswal G, Kaul A. Content Based Image Retrieval. Proceedings of the National Conference on Computing, Communication and Control; 2013 Oct 23–24; Chandigarh, India.

Kumar RS, Senthilmurugan M. Content-Based Image Retrieval System in Medical. International Journal of Engineering Research & Technology. 2013; 2 (3): 78–81p.

Chhabra AK, Birchha V. A Comprehensive Survey of Modern Content Based Image Retrieval Techniques. International Journal of Computer Science and Information Technologies. 2014; 5: 6127–9p.

Sajwan V. Content Based Image Retrieval Using Combined Features (Color and Texture). International Journal of Engineering Research. 2014; 3: 271–3p.

Shanmuga NP, Nallusamy R. A New Content Based Image Retrieval System Using GMM and Relevance Feedback. Journal of Computer Science. 2014; 10(2): 330–40p.

Jain N, Salankar SS. Color & Texture Feature Extraction for Content Based Image Retrieval. Proceedings of the International Conference on Advances in Engineering & Technology; 2014 Mar 29–30; Singapore. 53–8p.

Giri A, Meena YK. Content Based Image Retrieval Using Integration of Color And Texture Features. IJRCET. 2014; 3(4): 1451–4p.

Pinjarkar L, Sharma M, Mehta K. Comparison and analysis of content based image retrieval systems based on relevance feedback. J Emerg Trends Comp Inform Sci. 2012; 3(6): 833–7p.

Singha M, Hemachandran K. Content based image retrieval using color and texture. SIPIJ. 2012; 3(1): 39–57p.

Penatti OAB, Valle E, Torres RDS. Comparative study of global color and texture descriptors for web image retrieval. J Visual Commun Image Represent. 2012; 23(2): 359–80p.

Yadav AK, Roy R, Vaishali, Kumar AP. Survey on Content-based Image Retrieval and Texture Analysis with Applications. International Journal of Signal Processing, Image Processing and Pattern Recognition. 2014; 7(6): 41–50p.

Swain MJ, Ballard DH. Color indexing. International Journal of Computer Vision. 1991; 7: 11–32p.

Long F, Zhang HJ, Feng DD. Fundamentals of Content-based Image Retrieval. In: Feng D (Ed). Multimedia Information Retrieval and Management. USA: Springer; 2003.

Deole PA, Longadge R. Content Based Image Retrieval using Color Feature Extraction with KNN Classification. IJCSMC. 2014; 3: 1274–80p.

Bala JW. Combining Structural and Statistical Features in a Machine Learning Technique for Texture Classification. Proceedings of the 3rd International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems; 1990 Jul 16–19; Charleston, USA. 175–88p.

Shitole Anuradha, Godase Uma. Survey on Content Based Image Retrieval. International Journal of Computer-Aided Technologies. 2014; 1.

Haridas K, Thanamani AS. Well- Organized Content based Image Retrieval System in RGB Color Histogram, Tamura Texture and Gabor feature. 2014; 3(10).

Garwal Saurabh, Johari Punit Kumar. A Novel approach to Develop a new Hybrid Technique for Trademark Image Retrieval. International Journal on Information Theory. 2014; 3(4).


  • There are currently no refbacks.