The establishment of fast and efficient blasting fragmentation detection technology and identification method can quickly quantify and feedback the blasting effect. Aiming at the false edges or missing edges in the edge detection operator of blasted ore images, this paper proposes an Improved Canny operator edge detection method.Using images of blast piles from Yuanbaoshan Open Pit Mine as the data source, firstly, statistical filtering is used to improve the image edge blur problem that may be caused by Gaussian filtering when denoising; secondly, the gradient amplitude and gradient direction of the burst image are calculated based on the 3×3 gradient template of the operator; finally, based on the natural iteration method, the image threshold is automatically obtained, and the discontinuous edge is repaired by the morphological closing operation and thinning operator to obtain the final detection edge.The results demonstrate that this method achieves precise image segmentation, enhancing the accuracy of large block rate detection in blasting operations.