Image recognition method and system based on edge extraction

Abstract

The invention relates to an image recognition method based on edge extraction, and belongs to the technical field of image recognition, and the method comprises the steps: carrying out the graying processing of a to-be-recognized image, and obtaining a first gray-scale image; performing noise reduction and smoothing processing on the first grey-scale map to obtain a second grey-scale map; performing edge detection on the second grey-scale map to obtain an edge information map; carrying out binarization processing on the edge information graph to obtain a binarized image; determining a bounding box of the target area by traversing the binarized image, and obtaining the binarized image with the bounding box; cutting the to-be-identified image according to the bounding box in the binarized image with the bounding box to obtain a cut image; and carrying out image identification by using the cut image. According to the invention, the to-be-identified image is cut according to the bounding box, so that low-cost and high-efficiency extraction of the region of interest is realized, the adverse effect of excessive background information on the performance of an image identification algorithm is solved, and the improvement of the image identification precision is facilitated.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to an image recognition method and system based on edge extraction. Background technique [0002] In the current image recognition methods, the image to be recognized is often directly scaled, and then the scaled image is input into the image recognition model for recognition. When the target in the image to be recognized is small and there is too much background information, the image recognition model usually cannot correctly recognize the image. Although combining the existing ROI search methods for image recognition or using object detection for image recognition can solve this problem, such methods have high computational complexity and algorithm complexity, which brings a lot of time consumption . SUMMARY OF THE INVENTION [0003] The purpose of the present invention is to provide an image recognition method based on edge extraction, which reduces the image recog...

AI Technical Summary

Problems solved by technology

When the target in the image to be recognized is small and there is too much background information, the image recognition model usually cannot correctly identify the image

Although image recognition combined with existing ROI search methods or image recognition using object detection can solve this problem, such methods have a high amount of calculation and algorithm complexity, which brings a lot of time consumption

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