Image detection method and device
An image detection and image technology, which is applied in image analysis, image data processing, neural learning methods, etc., can solve problems such as the decline in the accuracy of image detection, poor robustness of image detection models, and increased difficulty of image detection, achieving robustness good sex effect
Pending Publication Date: 2021-04-20
GUANGDONG SHUNDE IND DESIGN INST GUANGDONG SHUNDE INNOVATIVE DESIGN INST
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However, the image detection model obtained by the image detection method in the traditional technology is poor in robustness, and when the light interference is strong and the target object is blocked by a large proportion, the difficulty of image detection will increase and the accuracy of image detection will decrease.
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[0061] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0062] In one of the embodiments, the image detection method provided by this application can be applied to such as figure 1 In the shown application environment, the application environment may involve both the terminal 102 and the server 104, and the terminal 102 communicates with the server 104 through a network. Specifically, the server 104 obtains the image of the object to be detected through the terminal 102, runs the image detection model obtained through training, uses the image detection model to perform image detection on the image, and obtains the image detecti...
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The invention relates to an image detection method and device. The method comprises the following steps: acquiring an image of a to-be-detected object; running the image detection model obtained by training, and performing image detection on the image by adopting the image detection model to obtain an image detection result, wherein the training process of the image detection model comprises the steps of obtaining a training sample set and a test sample set, and training a to-be-trained image detection model according to the training sample set; performing image detection on the test sample set by adopting the to-be-trained image detection model to obtain an image test result; and when it is determined that a training ending condition is satisfied according to the image test result, taking the to-be-trained image detection model as an image detection model, otherwise, adjusting model parameters of the to-be-trained image detection model, and returning to the step of training the to-be-trained image detection model according to the training sample set. By adopting the method, the image detection difficulty can be effectively reduced and the accuracy of image detection can be improved when the target object is interfered and shielded by light.
Description
technical field [0001] The present application relates to the technical field of image detection, in particular to an image detection method and device. Background technique [0002] With the development of intelligent industrial production, the application of computer vision technology is becoming more and more common, which can effectively save production costs and improve production efficiency. At present, in industrial production scenes with complex environmental backgrounds, there are some problems such as light interference, diversified non-target objects and target objects being occluded. [0003] In view of the above problems, the image detection methods in the traditional technology are mostly based on feature point matching, modular fuzzy classification or contour segmentation processing, and dividing the target object image into modules, etc. However, the image detection model obtained by the image detection method in the traditional technology has poor robustnes...
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Login to View More IPC IPC(8): G06T7/00G06K9/46G06K9/62G06N3/04G06N3/08
Inventor 唐吉林王高杰李诀赵显双
Owner GUANGDONG SHUNDE IND DESIGN INST GUANGDONG SHUNDE INNOVATIVE DESIGN INST