1
Adavanced Engineering Specialist, Accenture, Ireland, Europe
(a.govindasamy@accenture.com)
2
Professor, Department of Computer Science and Engineering, JAIN University, Bangalore, 560069 India
(abhishek.maacindia@gmail.com )
3
Associate Professor, Department of Computer Science and Engineering ,Karunya Institute of Technology and Sciences, Coimbatore, 641114, India
( rlvenkei_2000@karunya.edu)
Abstract :
In many industries, the picture of the day now plays an important role in extracting information about the item. Many traditional image retrieval techniques have been used. It answers the user's question interactively by asking whether the image is relevant. In this digital age, graphics have become an important part of information processing. The image plays an important role in extracting information about the object in a variety of areas, including weather systems, tourism, medicine, and geology, in the processing of image registrations. There are several methods for retrieving images. It determines a person's inquiry interactively by asking users whether the image is relevant (similar). The efficient image database business has improved the process's functioning in the content-based image recovery system (CBIR). Content-based image recovery (CBIR) research has grown in importance. As individuals, we have studied and investigated various features in this manner or in combinations. We discovered that image Registration Processing (IRP) is a critical area in the industries. Several research papers on color feature and texture feature extraction were reviewed, and it was determined that point cloud data structure is best for image registration using the Iterative Closest Point (ICP) algorithm.
Keywords :
CBIR , SVM , Feature Extraction , Point Cloud
References :
[1] Darshana Mistry, Asim Banerjee,” Review: Image Registration”, International Journal of Graphics & Image Processing |Vol 2|issue 1|Feburary 2012.
[2] J. Yu, Z. Qin, T Wan, and X. Zhang, Feature integration analysis of bag-of-features model for image retrieval, Neurocomputing, vol. 120, pp. 355-364, 2013.
[3] H. A. Hassan ; N. M. Tahir ; I. Yassin ; C.H.C Yahaya ; S. M. Shafie International Conference on Computer Vision and Image Analysis Applications Year: 2015 | Conference Paper | Publisher: IEEE.
[4] J. Yue, Z. Li, L. Liu, and Z. Fu, “Content-based image retrieval using color and texture fused features, Math. Comput. Model. vol. 54, no. 34, pp. 1121-1127, 2011.
[5] Brian Amberg, Sami Romdhani and Thomas Vetter “Optimal Step Nonrigid ICPAlgorithms for Surface Registration”. This work was supported in part by Microsoft Research through the European PhD Scholarship Programme.
[6] Janu Neha, PratisthaMathur, “Performance analysis of frequency domain based feature extraction techniques for facial expression recognition.” In 7th International Conference on Cloud Computing, Data Science & Engineering-Confluence, 2017, pp. 591-594. IEEE, 2017.
[7] M. E. Elalami, A novel image retrieval model based on the most relevant features, Knowledge-Based Syst., vol. 24, no. 1, pp. 23-32, 201l.
[8] Brahmdutt Bohra1# Deepak Gupta2* Shikha Gupta3#” An Efficient Approach of Image Registration Using Point Cloud Datasets”.
[9] Nouman Ali, Khalid Bashir Bajwa , Robert Sablatnig , ZahidMehmood “ Image retrieval by addition of spatial information based on histograms of triangular regions”.
[10] Jost T., Hügli H. (2002) Fast ICP Algorithms for Shape Registration. In: Van Gool L. (eds) Pattern Recognition. DAGM 2002. Lecture Notes in Computer Science, vol 2449. Springer, Berlin, Heidelberg.
[11] Janu Neha, PratisthaMathur, “Performance analysis of frequency domain based feature extraction techniques for facial expression recognition.” In 7th International Conference on Cloud Computing, Data Science & Engineering-Confluence, 2017, pp. 591-594. IEEE, 2017.
[12] AtifNazir, Rehan Ashraf, TalhaHamdani, NoumanAli,"Content based image retrieval system by using HSV color histogram, discrete wavelet transform and edge histogram descriptor",International Conference on Computing, Mathematics and Engineering Technologies (iCoMET),Azad Kashmir,(2018)1-6.
[13] S. Somnugpong and K. Khiewwan, “Content Based Image Retrieval using a combination of Color Correlograms and Edge Direction Histogram”, 13th International Joint Conference on Computer Science and Software Engineering,DOI:10.1109, IEEE, (2016).
[14] Neha Janu, PratisthaMathur, “Performance Analysis of Feature Extraction Techniques for Facial Expression Recognition”, International journal on Computer Applications, ISSN No. 0975 –8887, Volume-166, Issue-1, May 2017.
[15] Jamie Cook,Vinod Chandran, SridhaSridharan and Clinton Fookes, “Face Recognition From 3d Data Using Iterative Closest Point Algorithm And Gaussian Mixture Models”,Greece, 2004, pp. 502-509.
[16] Ruigang Fu, Biao Li, Yinghui Gao, Ping Wang, “Content-Based Image Retrieval Based on CNN and SVM”, 2016 2nd IEEE International Conference on Computer and Communications, pages (638-642).
[17] Peter J. Kostelec and SenthilPeriaswamy, “Image Registration for MRI”. Modern Signal Processing MSRI Publications Volume 46, 2003.
[18] C. S.Won, D. K. Park and Y. S. Jeon, “an efficient use of MPEG-7 Color Layout and Edge Histogram Descriptors”, proceeding of the ACM workshop on multimedia, (2000), pp. 51-54.
[19] T. Kato, “Database architecture for content-based image retrieval”, in Image Storage and Retrieval Systems, Proc SPIE 1662, (1992) pp112-123.
[20] Jan Elseberg, DoritBorrmann and Andreas Nüchter, “One billion points in the cloud – an octree for efficient processing of 3D laser scans”. In Proc. ISPRS Journal of Photogrammetry and Remote Sensing 76 (2013) 76–88.
[21] Kumar and M. Sinha (2014), "Overview on vehicular ad hoc network and its security issues," International Conference on Computing for Sustainable Global Development (INDIACom), pp. 792-797. doi: 10.1109/IndiaCom.2014.6828071.
[22] Mr. Ankit Kumar, Dr. Dinesh Goyal, Mr. Pankaj Dadheech, (2018), “A Novel Framework for Performance Optimization of Routing Protocol in VANET Network”, Journal of Advanced Research in Dynamical & Control Systems, Vol. 10, 02-Special Issue, 2018, pp-2110-2121, ISSN: 1943-023X.
[23] Mr. Pankaj Dadheech, Dr. Dinesh Goyal, Dr. Sumit Srivastava, Mr. Ankit Kumar, (2018), “A Scalable Data Processing Using Hadoop & MapReduce for Big Data”, Journal of Advanced Research in Dynamical & Control Systems, Vol. 10, 02-Special Issue, 2018, pp-2099-2109, ISSN: 1943-023X.
| Style | # |
|---|---|
| MLA | Ajay G, Abhishek Kumar, Venkatesan R. "Query-Based Image Retrieval using Support Vector Machine (SVM)." Journal of Cognitive Human-Computer Interaction, Vol. 1, No. 1, 2021 ,PP. 28-36 (Doi : https://doi.org/10.54216/JCHCI.010104) |
| APA | Ajay G, Abhishek Kumar, Venkatesan R. (2021). Query-Based Image Retrieval using Support Vector Machine (SVM). Journal of Journal of Cognitive Human-Computer Interaction, 1 ( 1 ), 28-36 (Doi : https://doi.org/10.54216/JCHCI.010104) |
| Chicago | Ajay G, Abhishek Kumar, Venkatesan R. "Query-Based Image Retrieval using Support Vector Machine (SVM)." Journal of Journal of Cognitive Human-Computer Interaction, 1 no. 1 (2021): 28-36 (Doi : https://doi.org/10.54216/JCHCI.010104) |
| Harvard | Ajay G, Abhishek Kumar, Venkatesan R. (2021). Query-Based Image Retrieval using Support Vector Machine (SVM). Journal of Journal of Cognitive Human-Computer Interaction, 1 ( 1 ), 28-36 (Doi : https://doi.org/10.54216/JCHCI.010104) |
| Vancouver | Ajay G, Abhishek Kumar, Venkatesan R. Query-Based Image Retrieval using Support Vector Machine (SVM). Journal of Journal of Cognitive Human-Computer Interaction, (2021); 1 ( 1 ): 28-36 (Doi : https://doi.org/10.54216/JCHCI.010104) |
| IEEE | Ajay G, Abhishek Kumar, Venkatesan R, Query-Based Image Retrieval using Support Vector Machine (SVM), Journal of Journal of Cognitive Human-Computer Interaction, Vol. 1 , No. 1 , (2021) : 28-36 (Doi : https://doi.org/10.54216/JCHCI.010104) |