摘要
为了克服现有微生物数量测定方法的局限性,配合生物医学科研工作,解决研究过程中微生物数量的有效、快速统计问题,针对显微镜下的菌群提出了一种基于图像像素面积统计的微生物数量估算快速算法.对显微镜下拍摄微生物培养皿图像采用去噪、去除背景、对比度补偿、二值化等图像处理步骤,对图像中的微生物主体进行提取,将微生物数量统计转化为对二值图像中像素面积的统计,从而估算出图像中微生物的个数.该算法解决了复杂背景下的目标识别问题,完成了复杂噪声中有效去除背景、凸显目标的任务.实验表明,该估算方法方便快捷、易于实现,误差较小,估算结果比较稳定,满足实用性要求.
Commonly used methods for microbial count often involve biological experiments and complicated operation. These methods cannot be carried out quickly. Moreover, each method has special requirements on the microorganisms. In the face of these problems, a fast algorithm for estimation of microbes based on area count was proposed in this paper . The pictures of microbial culture dishes photographed under the microscope were processed through a series of steps including de-noising, the removal of background, contrast enhance- ment, and binarization. The microorganisms were extracted from the background, then the microbial count can be turned into area count in the binary image. This algorithm solved the problem of target recognition in the complex background, completed the tasks of effectively eliminating the background noises and extracting the targets in the image. Experimental re- sults showed that this estimation method was easy to implemented and can work with little er- ror and high stability, which reached the practical requirements.
作者
李可喻
王好贤
LI Ke-yu;WANG Hao-xian(School of Information and Electrical Engineering,Harbin Institute of Technology（Weihai）,Weihai 264209,China)
出处
《哈尔滨商业大学学报（自然科学版）》
CAS
2018年第6期681-685,691,共6页
Journal of Harbin University of Commerce：Natural Sciences Edition
基金
国家863项目(2015AA7015087)
威海市科技发展计划项目(2015DXGJZD003)
关键词
微生物数量
数字图像处理
图像去噪
不均匀光照
二值化
microbial count
digital image processing
image de-noising
uneven illumination
binarization
