A Review of Web Image Mining Tools, Techniques and Applications
 |
International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2017 by IJCTT Journal | ||
| Volume-49 Number-1 |
||
| Year of Publication : 2017 | ||
| Authors : Khasim Syed, Dr. S V N Srinivasu | ||
| DOI : 10.14445/22312803/IJCTT-V49P107 |
Khasim Syed, Dr. S V N Srinivasu "A Review of Web Image Mining Tools, Techniques and Applications". International Journal of Computer Trends and Technology (IJCTT) V49(1):36-43, July 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
The most appropriate source of finding data is the digital database. Digitization has happened in almost every sector and this has led to tremendous growth in easy access of huge data. The data does not have to be only in the form of texts. It can be in the forms of audio, videos and even images. People who have to make decisions on a daily basis are the ones who need to access the pre-existing databases for better information. The process of finding out relevant information from already existing images in the implicit and useful databases is called image mining. This method is being employed in almost every sector including agriculture, remote sensing, medical diagnosis, space research and others. The focus of this thesis will be on the applications of image mining and it will also study the existent material on this topic to understand the concept of image mining better.
References
[1] Ana B. Benitez, Mandis Beigi, and Shih-Fu Chang “A Content-Based Image Meta-Search Engine using Relevance Feedback”
[2] D. Androutsos, K. N. Plataniotis and A. N. Venetsanopoulos “A Novel Vector-Based Approach to Color Image Retrieval Using a Vector Angular-Based Distance Measure” Computer Vision and Image Understanding Vol. 75, Nos. 1/2, July/August, pp. 46–58, 1999
[3] Anthony J.T. Lee, Ruey-Wen Hong, Wei-Min Ko, Wen-Kwang Tsao, Hsiu-Hui Lin “Mining spatial association rules in image databases” Information Sciences 177 (2007) 1593–1608
[4] Dr. Ashok N. Srivastava, Dr. Nikunj oza “Knowledge Driven Image Mining With Mixture Density Mercer Kernels” Manuscript for the ESA-EUSC 2004
[5] Ashraf Elsayed, Frans Coenen1, Marta García-Fiñana and Vanessa Sluming “Segmentation for Medical Image Mining: A Technical Report”
[6] Aswini Kumar Mohanty, Saroj Kumar Lenka, “Efficient Image Mining Technique for Classification of Mammograms to Detect Breast Cancer” Special Issue of IJCCT Vol. 2 Issue 2, 3, 4; 2010 for International Conference [ICCT-2010], 3rd-5th December 2010
[7] Aura Conci., Everest Mathias M. M. Castro “Image Mining By Color Content “
[8] V. Balamurugan and P. Anandhakumar “Neuro-Fuzzy Based Clustering Approach For Content Based Image Retrieval Using 2DWavelet Transform” International Journal of Recent Trends in Engineering, Vol. 1,No.1, May 2009
[9] Bangpeng Yao, Juan Carlos Niebles, Li Fei-Fei “Mining Discriminative Adjectives and Prepositions for Natural Scene Recognition “
[10] Bingbing Ni, Zheng Song, Shuicheng Yan “Web Image Mining Towards Universal Age Estimator”
[11] R. Brown, B. Pham “Image Mining and Retrieval Using Hierarchical Support Vector Machines “Proceedings of the 11th International Multimedia Modelling Conference (MMM?05) 1550-5502/05 © 2005 IEEE
[12] Carlos Ordonez and Edward Omiecinski “Image Mining: A New Approach for Data Mining”1998
[13] Chu-Hong Hoi, Michael R. Lyu “Web Image Learning for Searching Semantic Concepts in Image Databases”
[14] Chu-Hui Lee and Meng-Ting Liu “Color Image Segmentation For Apple Grading” supported by National Science Council under Grant NSC 97-2218-E-324-004
[15] Chunjie Zhang, Jing Liu, Hanqing Lu, Songde Ma “Web Image Mining Using Concept Sensitive Markov Stationary Features” 978-1-4244-4291-1/09 ©2009 IEEE ICME 2009
[16] Dipesh Dugar M , Dinesh Kumar Jain N , Raaja Sarabhoje Gopal , Haritha Ravi , Baskaran Alagappan “Object Recognition of Image Sets Using Discriminative Canonical Correlations” Preceedings of the International MultiConference of Engineers and Computer Scientists 2010 Vol I, IMECS 2010.Hong Kong.
[17] J. Fernandez, N. Miranda, R. Guerrero, F. Piccoli “Appling Parallelism in Image Mining” March 26, 2007
[18] R. Guadagnina, L. Santanab, E. Fernedaa, and H. Pradoa “Improving Image Mining through Geoprocessing” ISSN 1054_6618, Pattern Recognition and Image Analysis, 2010, Vol. 20, No. 1, pp. 81–85. © Pleiades Publishing, Ltd., 2010.
[19] Hassan H. Malik “iARM: Image Association Rule Mining Language“2005.
[20] T. Iwaszko, Mahmoud Melkemi and L. Idoumghar “A Geometric Data Structure Applicable to Image Mining and Retrieval “
[21] L. Jeba Sheela, Dr. V.Shanthi, “Image Mining Techniques for Classification and Segmentation of Brain MRI Data” 2005 – 2007 JATIT.
[22] Jen-Hao Hsiao, Chu-Song Chen and Ming-Syan Chen “A Novel Language-Model-Based Approach for Image Object Mining and Re-Ranking” 2008 Eighth IEEE International Conference on Data Mining
[23] Ji Zhang, Wynne Hsu and Mong Li Lee “An Information-Driven Framework for Image Mining” Database and Expert Systems Applications in Computer Science, 2001, Volume 2113/2001, 232-242, DOI: 10.1007/3-540-44759-8_24
[24] Ji Zhang Wynne Hsu Mong Li Lee “ Image Mining: Issues, Frameworks and Techniques”
[25] S. John Peter “Minimum Spanning Tree-based Structural Similarity Clustering for Image Mining with Local Region Outliers” International Journal of Computer Applications (0975 – 8887) Volume 8– No.6, October 2010
[26] Dr. C. Jothi Venkateswaran, S. Murugan, Dr. N. Radhakrishnan “An Useful Information Extraction using Image Mining Techniques from Remotely Sensed Image (RSI)” Dr.C.Jothi Venkateswaran et al / (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 08, 2010, 2577-2580
[27] A.Kannan, Dr.V.Mohan, Dr.N.Anbazhagan “An Effective Method of Image Retrieval using Image Mining Techniques” The International journal of Multimedia & Its Applications (IJMA) Vol.2, No.4, November 2010
[28] Keiji Yanai “Web Image Mining: Can We Gather Visual Knowledge for Image Recognition from the Web?”
[29] Keiji Yanai “Web Image Mining toward Generic Image Recognition”
[30] Keiji Yanai “Automatic Web Image Selection with a Probabilistic Latent Topic Model”
[31] Keiji Yanai “Probabilistic Web Image Gathering”
[32] Keiji Yanai, “Image Collector III: A Web Image-Gathering System with Bag-of Keypoints” , May 2007, ACM 978-1-59593-654-7/07/0005
[33] Keiji Yanai, Kobus Barnard “Finding Visual Concepts by Web Image Mining”
[34] Kun-Che Lu And Don-Lin Yang “Image Processing and Image Mining using Decision Trees” Journal of Information Science and Engineering 25, 989-1003 (2009)
[35] Lukasz Kobylinski and Krzysztof Walczak “Color Mining of Images Based on Clustering” Proceedings of the International Multiconference on Computer Science and Information Technology pp. 203–212 ISSN 1896-7094 2007 PIPS
[36] T. H. Manjula Devi, H.S. Manjunatha Reddy, K. B. Raja, K. R Venugopal and L. M. Patnaik “Detecting Original Image Using Histogram, DFT and SVM” International Journal of Recent Trends in Engineering Vol. 1, No. 1, May 2009
[37] Manoranjan Dash, Deepak Kolippakkam “Automatic View Selection: An Application to Image Mining”
[38] Mohamed Y. Eldib and Hoda M. Onsi “Web Image Mining Age Estimation Framework” ICGST-GVIP Journal, Volume 11, Issue 1, March 2011
[39] Dr.V.Mohan and A.Kannan “Color Image Classification and Retrieval using Image mining Techniques” International Journal of Engineering Science and Technology Vol. 2(5), 2010, 1014-1020.
[40] Nick Morsillo, Chris Pal, Randal Nelson “Mining the Web for Visual Concepts Univ. of Rochester Comp. Sci. Dept. Technical Report TR-2008-931 March 18, 2008
[41] K Perumal and R Bhaskaran “Supervised Classification Performance Of Multispectral Images” Journal Of Computing, Volume 2, Issue 2, February 2010, ISSN 2151-9617
[42] Peter Stanchev “Using Image Mining For Image Retrieval”
[43] Pham, N.K. Morin, A. Gros, P. “CAViz, an interactive graphical tool for image mining “June 2008 IEEE, pages 371 - 376 ISSN: 1330-1012 ISBN: 978-953-7138-12-7
[44] P. Rajendran, M.Madheswaran “Hybrid Medical Image Classification Using Association Rule Mining with Decision Tree Algorithm” Journal Of Computing, Volume 2, Issue 1, January 2010, ISSN 2151-9617
[45] P. Rajendran, M. Madheswaran “ Novel Fuzzy Association Rule Image Mining Algorithm for Medical Decision Support System” 2010 International Journal of Computer Applications (0975 - 8887) Volume 1 – No. 20
[46] Rajshree S. Dubey “Image Mining using Content Based Image Retrieval System” (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 07, 2010, 2353-2356
[47] Rong Zhu, Min Yao and Yiming Liu, “Image Classification Approach Based on Manifold Learning in Web Image Mining “Advanced Data Mining and Applications 2009, Volume 5678/2009, 780-787, DOI: 10.1007/978-3-642-03348-3_83
[48] Rosalina Abdul Salam, Abdullah Zawawi Hj. Talib, “Feature Extraction In Automatic Shape Recognition System”
[49] Ruhan He Wei Zhan “Multi-Modal Mining in Web image retrieval“Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. IEEE Issue Date: 28-29 Nov. 2009 Volume: 2 On page(s): 425 - 428 ISBN: 978-1-4244-4606-3
[50] Dr. Sanjay Silakari, Dr. Mahesh Motwani and Manish Maheshwari “Color Image Clustering using Block Truncation Algorithm” IJCSI International Journal of Computer Science Issues, Vol. 4, No. 2, 2009 ISSN (Online): 1694-0784 ISSN (Print): 1694-0814
[51] Sangkyum Kim, Xin Jin, Jiawei Han “DisIClass: Discriminative Frequent Pattern-Based Image Classification”
[52 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 On page(s): 18 – 22 ISSN: 1545-598X
[53] Seong-Yong Hong “Web Image Information Mining System Using Uup For E-Business Intelligence” Issues in Information Systems Volume X, No. 2, 2009
[54 Rupali Sawant “Image Mining Using Texture and Shape Feature” (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 09, 2010, 2808-2815
[55] S.P. Victor, S. John Peter “A Novel Minimum Spanning Tree Based Clustering Algorithm for Image Mining” European Journal of Scientific Research ISSN 1450-216X Vol.40 No.4 (2010), pp.540-546
[56] Dr.S.P.Victor, V.Narayani and S.Rajkumar “Efficient Retrieval Techniques For Images Using Enhanced Univariate Transformation Approach” International Journal of Engineering Science and Technology Vol. 2(8), 2010, 3762-3768
[57] Vitorino Ramos, Fernando Muge “Image Colour Segmentation by Genetic Algorithms”
[58] Wichian Premchaiswadi, Anucha Tungkatsathan “On-line Content-Based Image Retrieval System using Joint Querying and Relevance Feedback Scheme” Wseas Transactions On Computers Issue 5, Volume 9, May 2010 ISSN: 1109-2750
[59] Wynne Hsu, Mong Li Lee, Kheng Guan Goh “Image Mining in IRIS: Integrated Retinal Information System” [60] Wynne Hsu, Mong Li Lee and Ji Zhang “Image Mining: Trends and Developments” Journal of Intelligent Information Systems Volume 19, Number 1, 7-23, DOI: 10.1023/A:1015508302797
[61] Zheng Chen, Liu Wenyin, Feng Zhang, Mingjing Li, Hongjiang Zhang “Web Mining for Web Image Retrieval”
Keywords
Web Image Mining; Mining Colour Images; Medical Diagnosis.