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机构地区:[1]红河学院工学院,云南蒙自661100 [2]北京印刷学院基础部,北京102600 [3]湖北工业大学电气与电子工程学院,武汉430068
出 处:《云南民族大学学报(自然科学版)》2012年第4期301-304,共4页Journal of Yunnan Minzu University:Natural Sciences Edition
基 金:国家自然科学基金(61178092;61072130)
摘 要:针对运动模糊图像的模糊方向检测问题,分析了运动模糊图像的频谱特性,提出基于二次傅里叶频谱的运动模糊方向检测方法.首先,对模糊图像做2次傅里叶变换得到二次傅里叶频谱;其次,对频谱各像素按灰度值大小做排序,取排序第100的像素灰度为阈值使频谱转换为二值图像;最后,过二值图像中心作不同斜率的直线,通过计算所有亮点到直线的距离确定运动模糊方向.实验数据显示,该方法检测运动模糊方向的精度高,且具有较强的抗噪声能力.Aiming at solving the problem related to the blurred direction of motion blurred image, the spectrum charac- teristics of the motion blurred image were analyzed and a method for detecting the motion blurred direction based on twice Fourier spectrum was proposed. Firstly, the twice Fourier spectrum of blurred image was calculated. And then all pixels from big to small in the spectrum were sorted out by grayscale value, the 100th largest grayscale value was select- ed to be a threshold to transform the spectrum to a binary image. Finally, by drawing straight lines of all slopes through the center of the binary image, the motion blurred direction was ascertained by calculating the distances from all bright spots to the straight line. The experiment results show that the method has high accuracy and good anti -noise ability.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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