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Different blade species have different blade characteristics information, whether it is based on leaf information to identify tree species or accurately detect leaf diseases, image segmentation is particularly important. This paper proposes a blade image segmentation method based on the new addition algorithm, which is used to add the edge contour of the binary image extracted by the Canny detector to the original gray image, and the inverted binary image is quadratic with the first added image. Before and after adding, the image format and size of the blade image should be kept consistent, and the image addition condition can be satisfied to realize the segmentation of the blade image. The experimental results show that the method retains the complete feature information of the blade and the blade is completely separated from the background. It provides solid theoretical support for subsequent image feature extraction and tree species identification, the addition method can also be applied to other fields of image segmentation. [ABSTRACT FROM AUTHOR]