摘要
针对传统的Brenner清晰度评价函数在对离焦量大、内容复杂的图像评价时效果不理想的情况,提出一种改进的Brenner清晰度评价函数。该函数在Brenner评价函数的基础上,通过增加一组垂直方向的掩模模板,结合Brenner算子本身的水平方向模板共同对图像梯度进行计算。最后通过对不同模糊程度和有噪声的图像进行清晰度评价的对比验证改进方法的有效性。实验结果表明,改进的方法在Brenner函数的基础上提高了准确性的同时,计算时间上优于其他常用的灰度类评价函数,有效地改善了传统的Brenner清晰度函数的评价效果。
For the traditional Brenner definition evaluation function,which is not ideal in the image evaluation with large amount of defocus and complex content,this paper proposes an improved Brenner definition evaluation function.On the basis of the Brenner evaluation function,this function calculates the image gradient by adding a set of vertical mask template and combining the horizontal direction template of Brenner operator itself.Finally,the effectiveness of the improved method is verified by comparing the different fuzzy degrees and the noisy images.Experimental results show that the improved method on the basis of the Brenner function improved the accuracy at the same time,the calculation time is better than other common gray evaluation function,effectively improve the traditional Brenner definition function evaluation effect.
作者
毕天华
杜文华
Bi Tianhua;Du Wenhua(School of Mechanical and Power Engineering,North University of China,Taiyuan 030051,China)
出处
《电子测量技术》
2019年第9期80-84,共5页
Electronic Measurement Technology
基金
山西省自然科学基金(201601D102025)
中北大学自然科学研究基金(XJJ2016007)项目资助
