Optimization of image processing methods based on wavelet transform and adaptive thresholding

[1] Zhang, Z., Zhang, W., Awad, O. I., Ma, X., & Shuai, S. (2020). Improved hrtem image processing methods and the application on soot nanostructure analysis for gdi engine. Fuel, 267, 116974-. Search in Google Scholar

[2] Fan, D. (2020). Study on vehicle detection and tracking methods based on video image processing in intelligent transportation systems. Basic & clinical pharmacology & toxicology.(S1), 127. Search in Google Scholar

[3] Wang, Y., Dai, Y., Liu, X., Liu, B., & Guo, X. (2018). Study on the method of color image noise reduction based on optimal channel-processing. IET Image Processing, 12(9), 1545-1549. Search in Google Scholar

[4] Kobayashi, K. (2017). Imaging apparatus, image processor, image filing method, image processing method and image processing program. Journal of the Acoustical Society of America, 2(5), 1-18. Search in Google Scholar

[5] Wang, H., Chen, S., Li, X., & Khan, J. (2021). Quantitative characterization of fracture in the coal of shanxi and taiyuan formations based on an image processing method and multifractal theory. Energy & Fuels, 35(15). Search in Google Scholar

[6] Sun, Z., Li, F., Chen, W., & Wu, M. (2021). Underwater image processing method based on red channel prior and retinex algorithm. Optical Engineering, 60. Search in Google Scholar

[7] Han, J., Luo, Z., Zhang, Y., & Yan, S. (2020). Experimental analysis of interface contact behavior using a novel image processing method. Chinese Physics B. Search in Google Scholar

[8] Ichioka, K., & Sakaguchi, F. (2017). Image data processing method and apparatus for ultrasonic diagnostic apparatus, and image processing apparatus. Journal of the Acoustical Society of America, 130(2), 1088. Search in Google Scholar

[9] Chen, J., Zhang, D., Yang, S., & Nanehkaran, Y. A. (2021). Intelligent monitoring method of water quality based on image processing and rvfl-gmdh model. IET Image Processing, 14(4). Search in Google Scholar

[10] Zhou, H. (2020). An image processing algorithm for the measurement of multiphase bubbly flow using predictor-corrector method. International Journal of Multiphase Flow, 128(1). Search in Google Scholar

[11] Zhang, R., Cheng, S., & Guo, C. (2018). Detection method for pulverized coal injection and particles in the tuyere raceway using image processing. Isij International, 58(2), 244-252. Search in Google Scholar

[12] Shuai, L., Zheng, P., & Song, H. (2017). Digital image watermarking method based on dct and fractal encoding. IET Image Processing, 11(10), 815-821. Search in Google Scholar

[13] Liu, Y., Liang, G., & Saha, P. K. (2012). A new multi-object image thresholding method based on correlation between object class uncertainty and intensity gradient. Medical Physics, 39(1), 514. Search in Google Scholar

[14] Nakagomi, K. (2017). Image processing apparatus, image processing method, and storage medium for storing program. Field Crops Research, 2(5), 1-18. Search in Google Scholar

[15] Zavala-Mondragon, L. A., With, P. D., & Fons, V. (2021). Image noise reduction based on a fixed wavelet frame and cnns applied to ct. IEEE Transactions on Image Processing, 30. Search in Google Scholar

[16] Kumar, B., Ranjan, R. K., & Husain, A. A multi-objective enhanced fruit fly optimization (mo-efoa) framework for despeckling sar images using dtcwt based local adaptive thresholding. International Journal of Remote Sensing. Search in Google Scholar

[17] Kotte, S., Rajesh, K. P., & Kumar, I. S. (2018). Optimal multilevel thresholding selection for brain mri image segmentation based on adaptive wind driven optimization. Measurement, 130, 340-361. Search in Google Scholar

[18] Wunnava, AneeshNaik, Manoj KumarPanda, RutuparnaJena, BibekanandaAbraham, Ajith. (2020). An adaptive harris hawks optimization technique for two dimensional grey gradient based multilevel image thresholding. Applied Soft Computing, 95(1). Search in Google Scholar

[19] Hui, H. G., Ling, L., Zhang, D., Wei, D., Lim, C. S., & Kurniawan, T. A., et al. (2022). Denoising transient power quality disturbances using an improved adaptive wavelet threshold method based on energy optimization. Energies, 15. Search in Google Scholar

[20] Zhao, F., Xie, M., Liu, H., Fan, J., & Zheng, Y. (2020). Adaptive multilevel thresholding based on multiobjective artificial bee colony optimization for noisy image segmentation. Journal of Intelligent and Fuzzy Systems(22). Search in Google Scholar