Machine Vision Integrated System for Image Denoising Based on Multiplexing

Abstract

The invention relates to the technical field of machine vision integration, in particular to a machine vision integration system for denoising based on multi-channel contrast images. It includes an image acquisition unit, the output end of the image acquisition unit is connected with an image information extraction unit, the output end of the image information extraction unit is connected with an image noise detection unit, and the output end of the data storage unit is connected with a similar image comparison unit. In the present invention, the image acquisition unit collects the original image, and transmits the acquired information to the image information extraction unit, the image information extraction unit extracts the original image information, and transmits the original image information to the image noise detection unit and the data storage unit. The storage unit stores the original image information, at the same time generates an analog image according to the original image information, and transmits the analog image information to the similar image comparison unit, and the similar image comparison unit transmits the comparison information to the image noise detection unit, which is detected by the image noise detection unit. Extract the noise information of the original image.

Description

technical field [0001] The invention relates to the technical field of machine vision integration, in particular to a machine vision integration system for denoising based on multi-channel contrast images. Background technique [0002] The machine vision integrated system integrates image acquisition, processing and communication functions, and provides a multi-functional, modular, high-reliability, and easy-to-implement machine vision solution. For acquisition, since the acquired images are not processed, image noise is prone to occur. Image noise refers to unnecessary or redundant interference information existing in image data. The existence of noise seriously affects the quality of remote sensing images. Before image enhancement processing and classification processing, it must be corrected. Various factors in the image that prevent people from accepting their information can be called image noise, which makes it difficult to recognize the image later, making the system ...

AI Technical Summary

Problems solved by technology

[0002] The machine vision integrated system integrates image acquisition, processing and communication functions, and provides a multi-functional, modular, high reliability, and easy-to-implement machine vision solution. During the use of the machine vision integrated system, it is necessary to pre-image Since the collected images are not processed, image noise is prone to appear. Image noise refers to unnecessary or redundant interference information existing in image data. The existence of noise seriously affects the quality of remote sensing images. Therefore, in Before image enhancement processing and classification processing, it must be corrected. Various factors in the image that hinder people from accepting its information can be called image noise, which makes it difficult to recognize the image later and makes the system unable to operate normally.

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