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Chip Recognition Method of LED Chip Tester

In the process of LED production, it is the key to determine the precise location of the LED chip and improve the recognition accuracy of the chip. An image recognition method that based on the method of image threshold segmentation of subpixel accuracy is proposed to detect LED chip’s image in this paper. Firstly, make image preprocessing by using this new method, and then extract the ROI(Region of interest) by using K-means clustering algorithm. Finally, the location of the chip is determined by using the NCC (Normalized cross correlation) normalization method. The experimental results show by combination of the subpixel accuracy threshold segmentation method and the NCC normalization algorithm in the LED testing instrument, LED chip image can be accurately recognized and pinpoint the location.