采用MATLAB图像处理技术在鱼病诊断中的应用

Using the Technology of MATLAB Image Processing to Supervise and Predict the Health of Fish

本文介绍了一种可以对水产养殖中鱼的病变情况进行监控的系统。通过MATLAB软件中强大的图像处理功能,对读入的图像进行中值滤波、灰度处理和二值处理,然后根据收缩与扩张的原理,编写程序,对二值图像进行数次收缩与扩张,以去除杂质点,最后采用区域矩特征的概念,统计出白色像素的数日,与统计数据相比较,即可判断出是否出现鱼类病变死亡等异常情况。

This paper introduces a system that monitor and control the pathological changes of the fish carries on the aquiculture. Through the powerful image processing function of MATLAB software, putting up median filter, gray processing and binary processing to the reading image. Then on the theory of shrink and expand, editing program, dealing with binary image shrink and expand times to wipe off impurity. At last, through the concept of area square, counting up the number of white pixel, compared with the covariance data, can immediately judge whether appears the pathological changes of the fish.