Research Opportunities and Challenges in Image Processing
DOI:
https://doi.org/10.62760/iteecs.2.3.2023.57Keywords:
Image processing, Visual inspection system, Defense surveillance, Visual senseAbstract
The processing of image data for storage, transmission, and representation for autonomous machine perception are the two primary application fields that have contributed to the growing interest in digital image processing technologies. The development of improved pictorial information for human interpretation is the other primary application field that has contributed to this growing interest. The purpose of this paper is to describe the scope of image processing, examine the numerous phases and techniques involved in a typical image processing, and provide examples of applications of image processing tools and procedures in cutting-edge fields of study.
References
E. Petersen, Michael, D. E. Ridder and H. Handels "Image processing with neural networks—a review." Pattern recognition, Vol. 35, No. 10, pp. 2279-2301, 2022.
K. Gaurav and P. K. Bhatia "A detailed review of feature extraction in image processing systems." 2014 Fourth international conference on advanced computing & communication technologies, 2014.
B. A. Kumar, and B. K. Joshi "A review paper: noise models in digital image processing." arXiv preprint arXiv, pp. 1505.03489, 2015.
Gurcan, N. Metin "Histopathological image analysis: A review." IEEE reviews in biomedical engineering, Vol. 2, pp. 147-171, 2009.
M. J. Khan "Modern trends in hyperspectral image analysis: A review." IEEE Access, Vol. 6, pp. 14118-14129, 2019.
V. Mitko, JPW Pluim, P.J.V. Diest, and M.A. Viergever. "Breast cancer histopathology image analysis: A review." IEEE transactions on biomedical engineering, Vol. 61, No. 5, pp.1400-1411, 2017.
W. Victor, and T. Lucas. "Computer vision and image processing: a paper review." International Journal of Artificial Intelligence Research, Vol. 2, No. 1, pp.29-36, 2018.
S. Steffen, A. Sheppard, K. Brown and D. Wildenschild. "Image processing of multiphase images obtained via X?ray microtomography: A review." Water Resources Research, Vol. 50, No. 4, pp. 3615-3639, 2014.
A.S. Muhammad, M. Majid, A. Qayyum, M. Awais, M. Alnowami, and M. K. Khan. "Medical image analysis using convolutional neural networks: a review." Journal of medical systems, Vol. 42, pp. 1-13, 2018.
S. Dinggang, G. Wu, and H. Suk. "Deep learning in medical image analysis." Annual review of biomedical engineering, Vol. 19, pp. 221-248, 2017.
R.M. Haralick, S. R. Sternberg, and X. Zhuang. "Image analysis using mathematical morphology." IEEE transactions on pattern analysis and machine intelligence, Vol. 4, pp. 532-550, 1987.
H. Nilsson "Remote sensing and image analysis in plant pathology." Annual review of phytopathology, Vol. 33, No. 1, pp. 489-528, 1995.
E.M Lukman and D. A. Patel. "Artificial intelligence-based automatic visual inspection system for built heritage." Smart and Sustainable Built Environment, Vol. 11, No. 3, pp. 622-646, 2022.
R. Zhonghe, F. Fang, N. Yan and Y. Wu. "State of the art in defect detection based on machine vision." International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 9, No. 2, pp. 661-691, 2022.
H. Y. Hsin. "Developing an Anomaly Detection System for Automatic Defective Products’ Inspection." Processes, Vol. 10, No. 8, art.no. 1476, 2022.
C. Gong, J. Han, and X. Lu "Remote sensing image scene classification: Benchmark and state of the art." Proceedings of the IEEE, Vol. 105, No. 10, pp. 1865-1883, 2017.
C. Gong, X. Xie, J. Han, L. Guo, and G.S. Xia. "Remote sensing image scene classification meets deep learning: Challenges, methods, benchmarks, and opportunities." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13, pp. 3735-3756, 2020.
Z. Qin, L. Ni, T. Zhang and Q. Wang "Deep learning based feature selection for remote sensing scene classification." IEEE Geoscience and remote sensing letters, Vol. 12, No. 11, pp. 2321-2325, 2015.
Q. Guo?Bin, YJ Gao, L. Wang and H. Wang. "Self?assembled peptide?based nanomaterials for biomedical imaging and therapy." Advanced Materials, Vol. 30, No. 22, art.no. 1703444, 2022.
M.P. Wachowiak, R. Smolíková, Y. Zheng, J. M. Zurada, and A.S. Elmaghraby. "An approach to multimodal biomedical image registration utilizing particle swarm optimization." IEEE Transactions on evolutionary computation Vol. 8, No. 3, pp. 289-301, 2004.
Y. Lin, Y. Zhang, J. Chen, S. Zhang and D. Z. Chen "Suggestive annotation: A deep active learning framework for biomedical image segmentation." In Medical Image Computing and Computer Assisted Intervention? MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III 20, pp. 399-407, 2017.
P. Sudhakar, K. A. Sheela and M. Satyanarayana. "Imaging Lidar system for night vision and surveillance applications." In 2017 4th International Conference on Advanced Computing and Communication Systems, pp. 1-6, 2017.
M. Collough, H. Cynthia, L. Guimarães and J. G. Fletcher. "In defense of body CT." AJR. American journal of roentgenology Vol. 193, No. 1, art.no. 28, 2009.
L. Hao, Y. Guo, and T.S. Pan. "Target Detection and Recognition for Wide Area Border Defense Intelligent Surveillance." Journal of Information Hiding Multimedia Signal Process, Vol. 11, No. 4, pp. 199-208, 2020.
B. Serge, C. Carson, H. Greenspan and J. Malik. "Color-and texture-based image segmentation using EM and its application to content-based image retrieval." In Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271), pp. 675-682, 1998.
L. Xirong, C.M. Snoek and M. Worring. "Learning social tag relevance by neighbor voting." IEEE Transactions on Multimedia, Vol. 11, No. 7, pp. 1310-1322, 2009.
R. Rouhollah, S. A. Goldman, H. Zhang, J. Krettek and J. E. Fritts. "Localized content based image retrieval." In Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval, pp. 227-236, 2005.
S. Uzma, Z. Mehmood, T. Mahmood, M. A. Javid, A. Rehman and T. Saba. "Scene analysis and search using local features and support vector machine for effective content-based image retrieval." Artificial Intelligence Review, Vol. 52, pp. 901-925, 2019.
W. Joey and N. Patwari "See-through walls: Motion tracking using variance-based radio tomography networks." IEEE Transactions on Mobile Computing, Vol. 10, No. 5, pp. 612-621, 2010.
M. Shraddha and S. Mangale "Moving object detection and tracking using convolutional neural networks." 2018 second international conference on intelligent computing and control systems, pp. 1809-1813, 2018.
S. Kosuke, T. Maeda, H. Kato and S. Inokuchi. "CAD-based object tracking with distributed monocular camera for security monitoring." In Proceedings of 1994 IEEE 2nd CAD-based vision workshop, pp. 291-297, 1994.
Y. Yazhou, F. Shen, J. Zhang, L. Liu, Z. Tang and L. Shao. "Extracting multiple visual senses for web learning." IEEE Transactions on Multimedia Vol. 21, No. 1, pp. 184-196, 2018.
D. J. Jobson, Z. Rahman and G. A. Woodell. "Statistics of visual representation." In Visual information processing, Vol. 4736, pp. 25-35, 2002.
S. Kate and T. Darrell "Unsupervised learning of visual sense models for polysemous words." Advances in Neural Information Processing Systems Vol. 21, 2008.
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