A Survey on Image Mining Techniques

  IJCOT-book-cover
 
International Journal of Computer & Organization Trends  (IJCOT)          
 
© 2014 by IJCOT Journal
Volume - 4 Issue - 5
Year of Publication : 2014
Authors : Dr.V.P.Eswaramurthy , M.Arthi
  10.14445/22492593/IJCOT-V12P303

MLA

Dr.V.P.Eswaramurthy , M.Arthi. "A Survey on Image Mining Techniques", International Journal of Computer & organization Trends (IJCOT), V4(5):11-14 Sep - Oct 2014, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract—Image mining is associated with the growth of knowledge mining within the field of image processing. Image mining handles with the hidden information extraction and extra patterns that are not clearly defined within the pictures. Image mining includes techniques like Image processing, data processing, Robotics and machine learning. The foremost vital perform of the mining is to get all important patterns from the hidden image. Image mining contains different type of applications in numerous sectors like research on space, remote sensing, medical diagnosis etc. Image mining could be a category of analytical techniques that examine an outsized amount of image knowledge. This paper presents a survey on numerous image mining techniques.

References-

[1] Sanjay T.Gandhe, K. T. Talele and Avinash G. Keskar, “Image Mining Using WaveletTransform”, Knowledge-Based Intelligent Information and Engineering Systems, Springer link book chapter, pp. 797-803, 2007.
[2] Lionel Gueguen and Mihai Datcu, “Image Time-Series Data Mining Based on the Information-Bottleneck Principle”, IEEE Transactions On Geoscience and Remote Sensing, Vol. 45, no. 4,827, April 2007.
[3] Selim Aksoy and R. Gokberk Cinbi, “Image Mining Using Directional Spatial Constraints,”IEEE Geosciences and Remote Sensing Letters, vol. 7, no. 1, pp. 33-37,Aug 2009.
[4] P. Rajendran and M. Madheswaran, “An Improved Image Mining Technique for Brain Tumor Classification Using Efficient Classifier”, International Journal Of Computer Science and Information Security, Vol. 6, no. 3, pp. 107-116, Jan 2009.
[5] Z. Sun, G. Bebis, R. Miller, “Object detection using feature subset selection,” Pattern Recognition 372165,March 2004.
[6] Nikolay Y. Nikolaev, Hitoshi Iba,” Regularization Approach to inductive genetic programming”, IEEE transactions on Evolutionary Computation, Vol.5, no.4, August 2001
[7] Ross Brown, Binh Pham, and Olivier de Vel , “Design of a Digital Forensics Image Mining System”, Springer-Verlag Berlin Heidelberg, pp. 395.404 Sept 2005.
[8] Sanjay Silakari, Mahesh Motwani and Manish Maheshwari , “Color Image Clustering using Block Truncation Algorithm”,Ijcsi International Journal Of Computer Science issues, Vol. 4, no. 2, Aug 2009
[9] Tao Jiang and Ah-Hwee Tan,Learning, “Image-Text Associations”, IEEE Transactions On Knowledge and Data Engineering, Vol. 21, no. 2, February 2009
[10] M. Hemalatha and C. Lakshmi Devasena , “A Hybrid Image Mining Technique using LIM based Data Mining Algorithm”, International Journal Of Computer Applications, Vol. 25, no.2, pp. 1-5,July 2011.
[11] Andreea Julea, Nicolas Méger, Philippe Bolon, Christophe Rigotti,Marie-Pierre Doin, Cécile Lasserre, Emmanuel Trouvé, , and Vasile N. L˘az˘arescu, “Unsupervised Spatiotemporal Mining of Satellite Image Time Series Using Grouped Frequent Sequential Patterns”, IEEE Transactions On Geoscience and Remote Sensing, Vol. 49, no. 4, April 2011.
[12] Ja-Hwung Su, Wei-Jyun Huang, Philip S. Yu, , and Vincent S. Tseng, “ Efficient Relevance Feedback for Content-Based Image Retrievalby Mining User Navigation Patterns”, IEEE Transactions On Knowledge and Data Engineering, vol. 23, no. 3, March 2011.
[13] Noorhaniza Wahid, “A Novel Image Classification Algorithm Using Swarm-Based Technique for Image Database”, Springer-Verla- Berlin Heidelberg, pp. 460–470, April, 2011
[14] Maybin Muyeba, M. Sulaiman Khan, and Frans Coene, “A Framework for Mining Fuzzy Association Rules from Composite Items”, Springer-Verlag Berlin Heidelberg, pp. 62–74, May 2009.
[15] Surya S. Durbha, , Roger L. King, and Nicolas H. Younan, “Wrapper-Based Feature Subset Selection for Rapid Image Information Mining” , IEEE GeoScience and Remote Sensing letters, vol. 7, no. 1, Janaury 2010.
[16] Shah, V.P. Younan, N.H. Durbha, S.S. King, R.L. “Feature Identification via a Combined ICA–Wavelet Method for Image Information Mining”, Geoscience and Remote Sensing letters, IEEE issue date: Jan. 2010 Volume: 7 issue: 1 pp: 18 – 22 issn: 1545- 598 xs
[17] Rajshree S. Dubey , “Image Mining using Content Based Image Retrieval System”, (IJCSE) International Journal On Computer Science and Engineering Vol. 02, no. 07, pp. 2353-2356, October 2010.
[18] S. P. Victor and S. John Peter, “A Novel Minimum Spanning Tree Based Clustering Algorithm for Image Mining,” European Journal Of Scientific Research, vol. 40, no. 4, pp. 540-546, March 2010.
[19] Junsong Yuan, Jiebo Luo, and Ying Wu, “Mining Compositional Features From GPS and Visual Cues for Event Recognition in Photo Collections”, IEEE Transactions on Multimedia, vol. 12, no. 7, November 2010.
[20] David A. Fay, Richard T. Ivey, Neil Bomberger, and Allen M. Waxm, “Image Fusion & Mining Tools for a COTS Environment”, ISIF pp. 606-613, 2003.
[21] Herbert Daschiel and Mihai Datcu, “ Information Mining in Remote Sensing Image Archives: System Evaluation”, IEEE Transactions On Geoscience and Remote Sensing, Vol 43, no. 1, January 2005.
[22] R. Brown, B. Pham “Image Mining and Retrieval Using Hierarchical Support Vector Machines” , IEEE Proceedings Of the 11th International Multimedia Modelling Conference, 1550-5502, 2005.
[23] Wynne Hsu, Mong Li Lee and Ji Zhang , “Image Mining: Trends and Developments”, Journal Of Intelligent information Systems, Vol. 19, no.1, pp.7-2, Jan 2002.
[24] Aura Conci and Everest Mathias M. M. Castro , “Image mining by content”, Expert Systems With Applications, Vol. 23, no. 4, pp. 377- 383, April 2002.
[25] Peter Stanchev “Using Image Mining For Image Retrieval” IASTED Conf. Computer Science and Technology,Cancum, Mexico,214- 218, May 19-21,2003
[26] Mahendra S.Makesar “Image mining techniques, a literature survey” Vol. 3 No. 12 Dec 2012

Keywords
Classification; Pre processing; Segmentation; Feature Extraction; Image Mining;