The invention relates to an
Eriocheir sinensis quality
estimation method based on unmanned aerial vehicle
image processing, and the method comprises the steps: firstly photographing
Eriocheir sinensisimages on site through an unmanned aerial vehicle, and obtaining a plurality of high-quality
Eriocheir sinensis images; secondly, preprocessing the image, including
image correction,
image noise reduction and target extraction; then, for the Eriocheir sinensis target area, using Wiener filtering to restore the target area, performing
edge detection by using a Canny operator after the original image is updated, and extracting an Eriocheir sinensis feature area; and finally, calculating the pixel area of the feature region, establishing a quality
estimation model for the quality and crustaceanarea of the Eriocheir sinensis by using multiple regression models, performing
error analysis, and preferentially selecting the
estimation model. Compared with a traditional
eriocheir sinensis qualityestimation method, the
eriocheir sinensis quality estimation method has the advantages that the stress reaction of
eriocheir sinensis caused by the traditional method is effectively avoided, the estimation precision is high, and the high requirement of the modern
aquaculture industry for Eriocheir sinensis cultivation refinement management can be met.