The present application relates to a kind of fabric one-way wet detection methods based on
image processing, the main steps of the present application are: first, water drop experiment is carried out to fabric, obtains the
diffusion image of its in different time of fabric inner and outer layer, after pre-
processing, the water drop contour map is segmented using
image subtraction method, the
radius and area of water drop at each time are calculated, obtain the
diffusion rate of
moisture in fabric, then the one-way wet ability of fabric is detected, and the
correlation analysis of image method detection result and MMT detection result is carried out.Finally, the wet index of each item measured by image method is used as
input function, the wet grade of fabric corresponding to MMT measured is used as output function, and it is substituted into the rating training of BP neural network, the rating of fabric wet performance is realized, the fabric wet theory and fluid equation are introduced into the mutual calculation of water
absorption rate and
diffusion rate, the diversity of image method
performance index is increased, and the accuracy and scientificity of the detection result of this method are improved.