A target recognition method and system based on convolutional neural network algorithm

A convolutional neural network and target recognition technology, which is applied in the field of target recognition methods and systems based on convolutional neural network algorithms, can solve problems such as low target recognition efficiency, and achieve improved image recognition efficiency, accuracy, and precision. Effect

CN113255706BActive Publication Date: 2021-09-24南京奕荣芯科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2021-09-24

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Abstract

The present 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, comprising: step S1, the acquisition module acquires an image to be processed; step S2, the processing module performs image processing on the image to be processed, Obtain the target image; step S3, the determination module determines whether the target image meets the requirements; step S4, the output module outputs the target image that meets the requirements; when the processing module performs image processing, the processing module according to the gray level difference The image to be processed is drawn with a continuous gray-scale dividing line. When the processing module draws the gray-scale dividing line, the processing module sets the gray-scale difference according to the tone quantity B of the target to be acquired; The boundary line generates several target areas, and sets similar borders according to the graphic similarity C between the target area and the target image, and then sets the target frame line according to the similar borders. The invention effectively improves the image target recognition efficiency.
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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...

Examples

Embodiment Construction

[0063] In order to make the objects and advantages of the present invention clearer, the present invention will be further described below in conjunction with the examples; it should be understood that the specific examples described here are only for explaining the present invention, and are not intended to limit the present invention.

[0064] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.

[0065] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "left", "right", "inner", "outer" and other indicated directions or positional relationships are based on the terms shown in the accompanying drawings. The direction or positional relationship shown is ...