[1]郭佑东, 凌福日, 姚建铨.基于梯度变换的太赫兹图像超分辨率重建[J].激光技术, 2020, 44(03):271-277 [2]李建蕊, 李九生, 史叶欣.太赫兹成像检测算法研究[J].现代电子技术, 2019, 42(24):71-74 [3]王月, 李琦.基于噪声估计的太赫兹图像自适应迭代去噪[J].中国激光, 2020, 47(08):301-310 [4]王海龙, 柳林, 纪文璐.改进插值及择优阈值算法的边缘检测[J].计算机仿真, 2020, 37(05):394-398 [5]李健, 刘孔宇, 任宪盛等.基于自适应阈值的算法在边缘检测中的应用[J].吉林大学学报工学版, 2021, 51(02):712-719 [6]Routray S, Ray A K, Mishra C.Image denoising by preserving geometric components based on weighted bilateral filter and curvelet transform[J].Optik, 2018, 159(4):333-343 [7]刘丽霞, 李宝文, 王阳萍等.改进边缘检测的遥感影像分割[J].计算机工程与应用, 2019, 55(12):54-58 [8]Pawar K B, Nalbalwar S L.Distributed canny edge detection algo- rithm using morphological filter [C]// IEEE International Confer- ence on Recent Trends in Electronics, Information & Communication Technology(RTEICT), 2016: 1523-1527. [9]段红燕, 邵豪, 张淑珍等.一种基于算子的图像边缘检测改进算法[J].上海交通大学学报, 2016, 50(12):1861-1865 [10]Zhao Miao-miao, Liu Hong-xia, Yi Wan.An improved canny edge detection algorithm based on DCT [C]// IEEE International Con- ference on Progress in Informatics & Computing, 2015:234-237. [11]李长有, 陈国玺, 丁云晋.改进算子的边缘检测算法[J].小型微型计算机系统, 2020, 41(08):1758-1762 [12]Li Xuan, Zhang Hong.An improved canny edge detection algorithm [C]// 8th IEEE International Conference on Software Engineering and Service Science( ICSESS), 2017:275-278. [13]Gong Yu-xi, Li Xiang-chun, Zhang Hao, et al.An improved canny algorithm based on adaptive 2D-Otsu and newton iterative. [C]// International Conference on Image, 2017:67-71. [14]刘佳琪, 张志杰, 董宁琛等.基于三维块匹配的红外图像降噪与缺陷量化方法[J].激光与红外, 2020, 50(10):1269-1275 [15]詹云军, 代腾达, 黄解军等.基于聚类三维块匹配的合成孔径雷达影像滤波算法[J].激光与光电子学进展, 2018, 55(04):121-127 [16]高陈强, 李佩.引导滤波和三维块匹配结合的红外图像去噪[J].重庆邮电大学学报自然科学版, 2016, 28(02):150-155 [17]李媛淼, 孙华燕, 郭惠超.双边滤波与引导滤波增强激光三维图像的图像预处理方法[J].激光与光电子学进展, 2019, 56(15):104-110 [18]HE K, SUN J, TANG X.Guided image filtering. [M] Greece: Springer Berlin Heidelberg, 2010:1-14. [19]宋人杰, 刘超, 王保军.一种自适应的边缘检测算法[J].南京邮电大学学报自然科学版, 2018, 38(03):72-76
|