Open Access Open Access  Restricted Access Subscription or Fee Access

A Survey Over Preprocessing and Similarity Matching of Trademark Images Based on Color

Numa Bajaj, Jagbir Singh Gill

Abstract


Relevant retrieval from a large high dimension data set is quite cumbersome but a significant task to survive in this world of images. A company’s trademark plays an important in expansion of its business. In this paper techniques have been discussed to retrieve the trademark images on the basis of its color feature. Color is a very important part of any image. It provides strong descriptor and also helps them to distinguish between two images. Therefore, many techniques have been explained thoroughly in this paper to describe the color features and their advantages and disadvantages. Special emphasis has been laid on how similarity matching is performed in each of the techniques, which include color histogram, color correlogram, color moments and various color descriptors.

Cite this Article
Numa Bajaj, Jagbir Singh Gill. A Survey over Preprocessing and Similarity Matching of Trademark Images Based on Color. Journal of Artificial Intelligence Research & Advances. 2015; 2(3): 17–26p.


Keywords


Color histogram, Color correlogram, Color moments, Color descriptor

Full Text:

PDF

References


Mostafa T, Abbas HM, Wahdan AA. On the use of hierarchical color moments for image indexing and retrieval. In Systems, Man and Cybernetics, 2002 IEEE International Conference IEEE, 2002,7: 6p.

Zhao Q, Yang J, Yang J, et al. Stone images retrieval based on color histogram. In Image Analysis and Signal Processing, 2009. IASP 2009. International Conference, IEEE, Taizhou, 2009, 157–161p.

Rasli RM, Muda TZT, Yusof Y, et al. Comparative analysis of content based image retrieval techniques using color histogram: A case study of GLCM and K-Means clustering. In Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference, IEEE, Kota Kinabalu, 2012, 283–286p.

Qu J, Nosato H, Sakanashi H, et al. Computational cancer detection of pathological images based on an optimization method for color-index local auto-correlation feature extraction. In Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium, IEEE, Beijing, 2014, 822–825p.

Debnath D, Parekh R. Content Based Image Retrieval Using Directional Color Correlograms. Int J Eng Sci Technol. 2011; 3(6): 4908–4913p.

Yu H, Li M, Zhang HJ, et al. Color texture moments for content-based image retrieval. In Image Processing. 2002. Proceedings. 2002 International Conference, IEEE, 2002, 3: 929–932p.

Weng T, Yuan Y, Shen L, et al. Clothing image retrieval using color moment. In Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference, IEEE, Dalian, 2013, 1016–1020p.

Yongyue C, Huosong X. A Study on the Algorithm Based on Image Color Correlation Mining. In Information Assurance and Security, 2009. IAS'09. Fifth International Conference on IEEE, Xian, 2009, 2: 377–380p.

Kobayashi T, Otsu N. Color image feature extraction using color index local auto-correlations. In Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference IEEE, Taipei, 2009, 1057–1060p.

Manjunath BS, Ohm JR, Vasudevan VV, et al. Color and texture descriptors. Circuits and Systems for Video Technology, IEEE Transactions, 2001; 11(6): 703–715p.

Bleschke M, Madonski R, Rudnicki R. Image retrieval system based on combined mpeg-7 texture and colour descriptors. In Mixed Design of Integrated Circuits & Systems, 2009. MIXDES'09. MIXDES-16th International Conference, IEEE, Lodz, 2009, 635–639p.

Chang JY, Lian CJ, Chen LG. Architecture and Analysis of Color Structure and Scalable Color Descriptor for Real-Time Video Indexing and Retrieval. In Consumer Electronics, 2004 IEEE International Symposium, IEEE, 2004, September, 365–369p.

Song YJ, Park WB, Kim DW, et al. Content-based image retrieval using new color histogram. In Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004. Proceedings of 2004 International Symposium, IEEE, 2004, 609–611p.


Refbacks

  • There are currently no refbacks.