摘要
针对一些原生动物种类在水体中不断游动难于计数的问题,采用数字图像处理技术,将连续拍摄的两幅或多幅照片,经过图像相减、增强、滤波以及二值化等图像处理技术,转换为一幅黑白图像。再使用连通区域的标号、原生动物计数和统计修正等方法,自动计算出图中的原生动物个数。该系统已被成功使用于草履虫等纤毛类原生动物的定量,得到了比人工计数更为准确和更高效的实验结果。
Due to the frequent movement of some types of protozoan in water, it is a challenging problem to count them. The purpose of this study is to design a new digital image processing technology to solve the problem. Two or more photos of the protozoan were continuously taken by a camera. Then they were transformed into a black and white picture using some image processing measures, such as image subtracting, enhancement, filtering and binarizing. The resulting image was further processed to identify and label connected regions, followed by automatically counting the regions and statistically revising the result. An automatic counting system was developed to count the ciliate, such as paramecium, and obtained more accurate and efficient results as compared to the manual counting method.
出处
《实验室研究与探索》
CAS
2007年第4期24-28,共5页
Research and Exploration In Laboratory
基金
自然科学基金(30470201)
关键词
图像处理
原生动物
自动计数
image processing
protozoan
automatic counting
