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This paper introduce a design of honeycomb ceramics’ on-line automatic checkout system based on machine vision. The checkout system acquires images of honeycomb ceramics through high-speed video camera. Firstly, the images are processed by using improved weighted median filtering. Then, the images run into threshold segmentation on the basis of Fisher criterion function method. Finally, sub-pixel measurement is applied so as to judge whether the product dimension is within the allowed scope. The experiment proves the effectiveness of the system and feasibility of detecting algorithm. 