New Method of Image Background Suppression Based on Soft Morphology and Retinex Theory

Sidibe, S., Niang, O., Thioune, A., Abdou, A. D., & Ngom, N. F. (2017). The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis. Journal of Electrical and Computer Engineering, 2017(), 1-6-058. https://doi.org/10.1155/2017/7948571
Tan, Z., & Liu, X. Y. (2021). Research on Increasing the Robustness of Image Recognition Models Against Different Sets. 電腦學刊, 32(3), 172-187. https://doi.org/10.3966/199115992021063203013
Chen, F. C., & Lin, C. H. (2009). Images Enhancement Using Mathematical Morphology. 中華技術學院學報, (40), 295-303. https://doi.org/10.7095/JCIT.200906.0295
Xu, C., & Zhang, Y. (2021). An Improved Sequence Cross Transformation Method and Its Application in Image Encryption. International Journal of Network Security, 23(6), 1087-1092. https://doi.org/10.6633/IJNS.202111_23(6).16
Imran, M., Hashim, R., & Khalid, N. E. A. (2014). Novel Approach to Content Based Image Retrieval Using Evolutionary Computing. Research Journal of Applied Sciences, Engineering and Technology, 8(6), 691-701. https://www.airitilibrary.com/Article/Detail?DocID=20407467-201408-201502170023-201502170023-691-701