摘要
近年来,显微镜自动成像技术被广泛运用到自动阅片领域。聚焦窗口选择方法是显微镜自动聚焦算法中的关键技术,直接影响自动聚焦算法的性能。传统聚焦窗口选择方法选择固定位置和固定大小区域计算清晰度评价函数,聚焦效率低且容易造成聚焦失败。针对这一问题,提出了一种基于图像灰度投影的聚焦窗口选择方法。该方法采用灰度投影法和自适应均值区间查找算法确定聚焦窗口。首先沿坐标轴方向计算图像的灰度投影,然后依据自适应均值区间查找算法在灰度投影序列中合适的子区间,根据子区间在坐标轴的位置构建出位置和尺寸准确聚焦窗口。实验表明灰度投影取窗法可以跟踪偏离中心的主体区域,是一种具有自适应性的聚焦窗口选择方法,能显著提高自动聚焦精确率和速度。
In recent years,automatic microscope imaging technology has been widely used in the field of automatic reading.The selection of focusing window is a key technology in the autofocus algorithm,which directly affects the performance of autofocus algorithm.Traditional focusing window selection method selects fixed position and fixed size area to calculate the sharpness function,which is inefficient and prone to focus failure.In order to solve this problem,a focus window selection method based on image gray projection is proposed.In this method,gray projection method and adaptive mean interval search algorithm are used to determine the focusing window.This method first calculates the gray-scale projection along the coordinate axis.Then this method finds the appropriate subinterval by the self-adaptive mean interval search algorithm.According to the location of the subinterval in the coordinate axis,a focusing window with accurate position and size is constructed.Experiments show that the gray-scale projection window method can track the main area which deviates from the center.It is a self-adaptive window selection method,which can significantly improve the accuracy and speed of auto focusing.
作者
高玮宁
马善涛
何勇军
谢怡宁
GAO Wei-ning;MA Shan-tao;HE Yong-jun;XIE Yi-ning(Harbin University of Science and Technology, School of Computer Science and Technology, Harbin 150080, China)
出处
《哈尔滨理工大学学报》
CAS
北大核心
2021年第5期60-67,共8页
Journal of Harbin University of Science and Technology
基金
国家自然科学基金面上项目(61673142)
黑龙江省自然科学基金面上项目(F2017013)
黑龙江省自然科学基金杰出青年项目(JJ2019JQ0013)
哈尔滨市杰出青年人才基金(2017RAYXJ013)
黑龙江省普通本科高等学校青年创新人才项目(UNPYSCT-2016034)
黑龙江省教育厅科学技术研究项目(12511096)
哈尔滨理工大学青年拔尖创新人才(20152)
中国博士后基金(20132303120003).
关键词
自动聚焦
区域选择算法
灰度投影
自适应性
医学图像
automatic focusing
focusing region
gray-scale projection
self-adaptability
medical image