Abstract
The image processing of plant growth is an effective tool for intact and non-destructive measurement, so as to be able to digitize continuously the images of plant or leaves with the computer system. However, it requires a lot of know-how responded to the features of the object plants. We have, therefore, developed several image processing methods for obtaining the accurate information about the vegetables grown in a plant factory. The image processing procedure of vegetables was composed of basical image processing functions such as sharpening, smoothing, expansion, contraction, deleting of noise and filling hole. In order to recognize individual plant growth continuously, we have developed the labelling algorithm by calculating the distance between center of gravity and set point. Furthermore, the transformation of growth was intelligibly observed by the superposition of outlines and the skeleton by thinning of binary images in the growth stage.In conclusion, these techniques made it possible to realize automatic measurement and development of the plant growth monitoring system in a plant factory.
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