The application discloses a kind of based on
image processing's
ginkgo leaf extract state real-time monitoring method, it is related to
ginkgo leaf extraction liquid technical field.The method steps include: constructing multiple
light source imaging environment and shooting
ginkgo leaf extract image;Through U-net segmentation model, obtain extraction liquid
mask, and obtain extraction liquid foreground image in combination with
ginkgo leaf extract image;Through adaptive threshold method, extraction liquid foreground image is segmented, and extraction liquid
block diagram is obtained, and after optimization through
watershed boundary optimization method, optimized extraction liquid
block diagram is obtained;Through the boundary
probability model of double distance change, the block boundary probability value is calculated, the block gradient amplitude is calculated by
Sobel operator, and the block boundary confidence is obtained in combination with block boundary probability value and block gradient amplitude, to determine block boundary pixel;Collect the boundary gradient
feature vector sequence of block boundary pixel, input to extraction liquid evolution trend model, output to obtain oxidation
risk index, and oxidation
risk index is greater than preset threshold value, then early warning is carried out.