Abstract: Plate-type nuclear fuel elements are critical components of a reactor, while the relative position of the core body in the finished nuclear fuel plates is crucial for the safety performance and operational efficiency of the reactor. Traditional processing of nuclear fuel elements relies heavily on manual lining, which leads to significant processing errors, surface scratches, and low efficiency. To improve detection and processing accuracy and efficiency, this paper proposed a method integrating the positioning and inspection of plate-type fuel element cores based on X-ray image processing, had developed supporting digital image processing algorithms to achieve automatic recognition and precise localization of core regions. Experimental results showed this system effectively enhanced production detection efficiency while maintaining the required detection precision.