Target identification method and system based on convolutional neural network algorithm

Abstract

The invention relates to a target recognition method and system based on a convolutional neural network algorithm, and relates to the technical field of image processing, and the method comprises the steps: S1, a collection module collects a to-be-processed image; S2, a processing module carries out image processing on the to-be-processed image to obtain a target image; S3, a judgment module judges whether the target image meets the requirement or not; and S4, an output module outputs the target image meeting the requirement. When the processing module carries out image processing, the processing module draws a continuous gray scale boundary line for a to-be-processed image according to the gray scale difference, and when the processing module draws the gray scale boundary line, the processing module sets the gray scale difference according to the hue number B of a to-be-acquired target; and the processing module generates a plurality of target areas according to the gray scale boundary lines, sets similar side lines according to the graph similarity C of the target areas and the target image, and then sets target frame lines according to the similar side lines. According to the invention, the image target recognition efficiency is effectively improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a target recognition method and system based on a convolutional neural network algorithm. Background technique [0002] Image recognition refers to the technology of using computers to process, analyze and understand images to identify targets and objects in various patterns. Convolutional neural network has long been one of the core algorithms in the field of image recognition, and has stable performance when learning data is sufficient. For general large-scale image classification problems, convolutional neural network can be used to build hierarchical classifiers, and can also be used in In fine classification recognition, it is used to extract discriminative features of images for other classifiers to learn. [0003] Chinese Patent Publication No.: CN201710526661.1 discloses a method and device for image target recognition. When performing target recognition...

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Problems solved by technology

[0005] To this end, the present invention provides a method and system for target recognition based on a convolutional neural network algorithm to overcome the problem of low target recognition efficiency due to high image complexity in the prior art

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