A General Overview on the Categories of Image Features Extraction Techniques: A Survey
DOI:
https://doi.org/10.29304/jqcm.2023.15.1.1165Keywords:
Pixel-level feature, local feature, global feature, features detection, features description, edge, corner, blob or regionAbstract
In the image processing’s field and computer vision it’s important to represent the image by its information. Image information comes from the image’s features that extracted from it using feature detection/extraction techniques and features description. Features in computer vision define informative data. For human eye its perfect to extract information from raw image, but computer cannot recognize image information. This is why various feature extraction techniques have been presented and progressed rapidly. This paper presents a general overview of the feature extraction categories for image.
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References
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[6] J. Lankinen, “Local Features in Image and Video Processing-Object Class Matching and Video Shot Detection”, PhD thesis, Finland, 2014.
[7] E. Salahat, M. Qasaimeh, “Recent Advances in Features Extraction and Description Algorithms: A Comprehensive Survey”, IEEE, 2017.
[8] A. Salau, S. Jain, "Feature Extraction: A Survey of the Types, Techniques, Applications", IEEE, 2019.
[9] W. Mutlag, S. Ali, Z. Aydam, B. Taher, "Feature Extraction Methods: A Review", Journal of Physics: Conference Series, 2020.
[10] K. Kumar, K. Chaduvula, B. Markapudi, "A Detailed Survey On Feature Extraction Techniques In Image Processing For Medical Image Analysis", European Journal of Molecular & Clinical Medicine, Vol. 7, Issue 10, 2020.
[11] P. Saxena, "An Overview of Feature Extraction Techniques in Content-Based Image Retrieval Systems", International Journal of Current Engineering and Technology, Vol.11, No.1, 2021.
[12] R. Gonzalez, R. Woods, Digital Image Processing, 3rd edition, 2007.
[13] D. Pascale, “A Review of RGB Color Spaces …from xyY to R’G’B’ ”, The Babel color company, Canada, 2003.
[14] J. Wu, Z. Cui, V. Sheng, P. Zhao, D. Su, S. Gong, “A Comparative Study of SIFT and its Variants”, Measurement Science Review, Vol. 13, No. 3, pp. 122-131, 2013.
[15] K. Joshi, M. Patel, “Recent advances in local feature detector and descriptor: a literature survey”, International Journal of Multimedia Information Retrieval , Vol. 9, Springer, pp. 231-247, 2020.
[16] S. Kaur, I. Singh, “Comparison between Edge Detection Techniques”, International Journal of Computer Applications, Vol. 145 – No.15, pp. 15-18, 2016.
[17] Chinu, A. Chhabra, “Overview and Comparative Analysis of Edge Detection Techniques in Digital Image Processing”, International Journal of Information & Computation Technology, Vol. 4, No. 10, pp. 973-980, 2014.
[18] N. Dey, P. Nandi, N. Barman, D. Das, S. Chakraborty, “A Comparative Study between Moravec and Harris Corner Detection of Noisy Images Using Adaptive Wavelet Thresholding Technique”, International Journal of Engineering Research and Applications (IJERA), Vol. 2, Issue 1, pp.599-606, 2012.
[19] Z. Mehmood, F. Abbas, T. Mahmood, M. Javid, A. Rehman, T. Nawaz, “Content-Based Image Retrieval Based on Visual Words Fusion Versus Features Fusion of Local and Global Features”, Arabian Journal for Science and Engineering, pp.7265-7284, Vol. 43, No. 12, 2018.
[20] D. Kalel, P. Pisal, R. Bagawade “ Color, Shape and Texture feature extraction for Content Based Image Retrieval System: A Study”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 4, pp. 303-306, 2016.
[21] M. Sonka, V. Hlavac, R. Boyle, Image Processing, Analysis, and Machine Vision, 4th Edition, Cengage Learning, United States of America, 2013.
[22] D. Srivastava, R. Wadhvani, M. Gyanchandani, “A Review: Color Feature Extraction Methods for Content Based Image Retrieval”, IJCEM International Journal of Computational Engineering & Management, Vol. 18, Issue 3, pp. 9-13,2015.
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Published
2023-04-03
How to Cite
Sameer, R. A. (2023). A General Overview on the Categories of Image Features Extraction Techniques: A Survey. Journal of Al-Qadisiyah for Computer Science and Mathematics, 15(1), Comp Page 179–188. https://doi.org/10.29304/jqcm.2023.15.1.1165
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Section
Computer Articles
