… to design a proper lighting system for defect enhancement. To suppress this light, Zhang et
… the light source and the objects, a preliminary determination of the type and color of the light …

… , fabric motif determination, candidate defect map generation and … To train the local defect
prediction model, we crop the … of the image after enhancement using the proposed method and …

… The overall accuracy of the classification model is 97%, which is … model significantly improved
the defect determination accuracy. … enhancement of machine learning model performance. …

… used to establish a prediction model between the spectral … contrast of the image is enhanced
using the gamma transform [… To obtain the size of the area threshold for defect determination…

… confidence prediction scores C f described in Equation (18) determine if … improvement due
to the larger image size our model processed in real time. The prediction speed of our model …

… algorithms to enhance image enhancement and defect detection. The first stage … using a
convolutional neural network, an accurate determination of the boundaries of the defects using …

… in the visual effect of the image because the program using … of our tensile strength prediction
model using various image … The classification task in this paper is to determine whether …

… respectively, and their defects were determined by the radial … After data augmentation and
image enhancement, they put … this research demonstrated defect prediction ability that was …

… vision system. Since image is the only processing object, the quality of the acquisition system
determines … The color picture under ring light simulates the visual of the human eyes, which …

… Image enhancement is often applied to a digital image to … sector, machine vision has been
observed to focus on defect … were determined, the prediction performance of the models …