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Fuel particle size and distribution is the key to energy saving of blast furnace. The fuel particle size will have influence to the highest temperature of the sintered material layer. The paper describe a method of adhesive particle image segmentation using based on particle swarm optimization fuzzy C -means clustering. It can measure particle size of fuel using OPENCV image processing real-time. Some experimental results are given，which show that the algorithm has the effective ability of searching global optimal solution. It has get very good effect on particle statistics.

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