School of Information Technology and Cyber Security, People's Public Security University of China, China, Beijing;
School of Information Technology and Cyber Security, People's Public Security University of China, China, Beijing;
School of Information Technology and Cyber Security, People's Public Security University of China, China, Beijing;
Complexity theory; Feature extraction; Heuristic algorithms; Neural networks; Mathematical model; Adaptive control; Image edge detection;
机译:通过自适应对比度阈值增强SIFT检测器以提高遥感全色图像的匹配鲁棒性
机译:SIFT探测器通过自适应对比度阈值提高,以提高遥感识别的遥感全色图像的稳健性
机译:一种基于自适应分数阶微分的改进SIFT算法
机译:改进基于自适应对比度阈值的SIFT算法
机译:开发用于山核桃的X射线机器视觉检查的新的局部自适应阈值化方法和分类算法。
机译:通过基于B1的自适应重启迭代软阈值算法(BARISTA)进行快速并行MR图像重建
机译:IKDSIFT:一种改进的基于SIFT的关键点检测算法,用于非均匀照明
机译:对比阈值作为光适应眼的零售位置和目标尺寸的函数:II。数据补充