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| Grid-based Multi-targets Template Matching Die Position Detection Method |
| ZHOU Shuchen,CHEN Xiaorong,WANG Zixuan |
| School of Optoelectronic Information and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China |
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Abstract To address the limitations of traditional methods in terms of long detection time and low accuracy, a multi-objective template matching algorithm detecting position of die based on grid is proposed. By improving the traditional template matching method and combining with non-maximum suppression algorithm, the detection speed and accuracy of chip dice are improved. Experimental results show that the proposed algorithm has a recognition rate of over 97% for a single same die, and the single image processing time does not exceed 200ms. It can overcome the detection difficulties caused by different brightness and meet the technical specifications.
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Received: 25 June 2023
Published: 23 May 2024
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2024, Vol. 45 
