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REFERENCES

1 
L. Reichel, U. O. Ugwu. ``Tensor Krylov subspace methods with an invertible linear transform product applied to image processing,'' Applied Numerical Mathematics, 2021, 166:186-207.URL
2 
W. Z. Liang, I. Possignolo, X. Qiao, et al. ``Utilizing digital image processing and two-source energy balance model for the estimation of evapo-transpiration of dry edible beans in western Nebraska,'' Irrigation Science, 2021:1-15.URL
3 
C. D. Tormena, R. C. S. Campos, G. G. ``Marcheafave, et al. Authentication of carioca common bean cultivars (Phaseolus vulgaris L.) using digital image processing and chemometric tools,'' Food Chemistry, 2021, 364(1):130349.URL
4 
T. M. Svahn, R. Gordon, J. C. Ast, et al. ``Comparison of Photon-Counting and Flat-Panel Digital Mammmography for The Purpose of 3d Imaging Using a Novel Image Processing Method,'' Radiation Protection Dosimetry, 2021(3-4):3-4.URL
5 
M. Talaat, M. Tayseer, A. Elzein. ``Digital image processing for physical basis analysis of electrical failure forecasting in XLPE power cables based on field simulation using finite-element method,'' IET Generation Transmission & Distribution, 2020, 14(26):6703-6714.URL
6 
Y. Long, G. S. Xia, S. Li, et al. On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid. IEEE Journal of selected topics in applied earth observations and remote sensing, 2021, 14: 4205-4230.URL
7 
J. Song. ``Binary Generative Adversarial Networks for Image Retrieval,'' International Journal of Computer Vision, 2020, 128:2243-2264.URL
8 
A. G. Khatchatoorian, M. Jamzad. ``A new architecture to improve the accuracy of automatic image annotation systems,'' IET Computer Vision, 2020, 14(5): 214-223.URL
9 
W. X. Liao, P. He, J. Hao, et al. He. ``Automatic identification of breast ultrasound image based on supervised block-based region segmentation algorithm and features combination migration deep learning model,'' IEEE journal of biomedical and health informatics, 2019, 24(4): 984-993.URL
10 
R. Srinivas. An Insight on Image Annotation Approaches and their Performances. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 2021, 12(10): 5902-5910.URL
11 
J. Zhang, Y. Mu, S. Feng, et al. Image region annotation based on segmentation and semantic correlation analysis. IET Image Processing, 2018, 12(8): 1331-1337.URL
12 
Z. Mehmood, T. Mahmood, M. A. Javid. Content-based image retrieval and semantic automatic image annotation based on the weighted average of triangular histograms using support vector machine. Applied Intelligence, 2018, 48(1): 166-181.URL
13 
R. Ratnakumar, S. J. Nanda. ``A high speed roller dung beetles clustering algorithm and its architecture for real-time image segmentation,'' Applied Intelligence, 2021, 51(2), 4682-4713.URL
14 
L. Duan, S. Yang, D. Zhang. ``Multilevel thresholding using an improved cuckoo search algorithm for image segmentation,'' The Journal of Supercomputing, 2021, 77(7):6734-6753.URL
15 
C. A. Xu, A. Cl, W.A. Li, et al. ``Diverse Data Augmentation for Learning Image Segmentation with Cross-Modality Annotations,'' Medical Image Analysis, 2021, 71: 102060.URL
16 
R. Hashimoto, J. Requa, T. Dao, et al. Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett’s esophagus (with video). Gastrointestinal endoscopy, 2020, 91(6): 1264-1271.URL
17 
Y. Chen, L. Liu, J. Tao, et al. The image annotation algorithm using convolutional features from intermediate layer of deep learning. Multimedia Tools and Applications, 2021, 80(3): 4237-4261.URL
18 
E. H. Houssein, K. Hussain, L. Abualigah, et al. ``An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation,'' Knowledge-Based Systems, 2021(1):107348.URL