Using MATLAB image processing to monitor the health of fish in aquiculture

A particular and real-time image processing application is proposed to detect pathological changes to fish. Images are periodically acquired from a video source using specialized control software. Then, analog signals are converted into digital signals by image collection card. According to the theory of shrink and expand, binary image is used to eliminate impurity. After that, use the concept of area-square to find out the changes of pathological fish, that is the area of the white pixel. Thus, as long as counting out the number of white pixel and comparing with the statistical data, the condition of the fish will be immediately found out. And the processed results can be returned to control software and displayed in real time.