Study on the method of adhesive parts particle counting based on HALCON
In order to solve the problem of low efficiency and low accuracy in the traditional adhesive parts particle counting method, it is proposed to implement an improved watershed segmentation algorithm by means of the HALCON image processing technology based on the Euclidean distance transform and the Gaussian filter. First of all, the parts particle image is obtained with the help of an industrial camera. Then the image undergoes pre-processing. Afterwards, the image is subject to mathematical morphology processing. The last step is application of the improved watershed segmentation algorithm. The experimental results show that the algorithm can segment the adhesive parts particles effectively, providing a guarantee for an accurate count of the parts particles.
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