TY - JOUR N2 - Due to the characteristics of color vegetation canopy images which have multiple details and Gaussion noise interference, the adaptive mean filtering (AMF) algorithm is used to perform the denoising experiments on noised images in RGB and YUV color space. Based on the single color characteristics of color vegetation canopy images, a simplified AMF algorithm is proposed in this paper to shorten the overall running time of the denoising algorithm by simplifying the adaptive denoising processing of the component V, which contains less image details. Experimental results show that this method can effectively reduce the running time of the algorithm while maintaining a good denoising effect. L1 - http://journals.pan.pl/Content/116302/PDF/23_609-626_01230_Bpast.No.68-3_30.06.20_K1A.pdf L2 - http://journals.pan.pl/Content/116302 PY - 2020 IS - 45 EP - 626 DO - 10.24425/bpasts.2020.133124 KW - image denoising KW - color vegetation canopy images KW - adaptive mean filtering KW - color space A1 - Wang, C. A1 - Liu, Y. A1 - Wang, P. VL - 68 DA - 30.06.2020 T1 - A study on color vegetation canopy images denoising algorithm SP - 609 UR - http://journals.pan.pl/dlibra/publication/edition/116302 T2 - Bulletin of the Polish Academy of Sciences Technical Sciences ER -