Detection of fine impurities in enamel gift dish based on image fusion
Aiming at the problems that high-end enamel gift plates have high requirements for aesthetics,and manual visual inspection is difficult to identify visible impurities on the surface with a size larger than 100 μm,this paper proposes a visual detection method for fine impurities in enamel gift dish.The collected gray images are divided into central area and edge area,then perform threshold segmentation and least square curve fitting on the edge area image to extract the region of interest.Use the Fourier transform with the specified cutoff frequency to suppress the small noise in the two types of images,and the detection area image is obtained.Finally,according to the morphological characteristics of the impurities,an iterative algorithm based on image fusion is designed,and the target impurity is purified by measuring the long side length of the minimum external rectangle,which improves the detection accuracy of impurities.The experimental results show that the detection rate of the defect samples of the fine impurities on the surface of the enamel gift dish by the method is 91.43%,the average detection time of a single sample is 577.4 ms and the target impurity missed detection rate is 3.58%,which meets the actual use requirements.
enamel gift dishdefect detectioncurve fittingimage fusion
NETL
NSTL
万方数据
