Image denoising method and device, storage medium and electronic equipment
An image and mean image technology, applied in the field of industrial security, can solve the problems of missing film targets, inability to distinguish noise and targets, and easy to lose targets.
Inactive Publication Date: 2021-08-27
博新融通(北京)科技有限公司
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Problems solved by technology
[0003] The traditional image noise removal method cannot distinguish the noise from the target, at the cost of sacrificing the accuracy, and it is easy to lose the smaller target on the film while removing the noise. However, the damage in the industrial field is often relatively small, and the process of removing the noise is very easy. Missing the target with serious consequences
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[0075] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.
[0076] The terms "first", "second", "third" and the like in the description and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or devices.
[0077] see figure 1 , figure 1 It is a schematic structural diagram of an image denoising system provided in an embodim...
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The invention discloses an image denoising method and device, a storage medium and electronic equipment, and the method comprises the steps of obtaining an ith mean value image, and selecting a target pixel point which has the largest difference with a pixel mean value and is smaller than a threshold value from the ith mean value image; traversing a plurality of adjacent points in the ith mean value image by taking the target pixel point as a starting point to generate a target path; smoothing the target path in the ith mean image; and taking the smoothed image as a target image when the pixel point which has the maximum difference with the pixel average value and is smaller than a threshold value does not exist in the smoothed average image. The invention comprises performing mean processing on an initial image, searching a noise pixel point and a target point closest to the noise pixel point in a mean image, and performing smoothing processing on a path formed by the noise pixel point and the target point closest to the noise pixel point to remove the noise point so as to obtain a target de-noised image, so that the contrast ratio of the target de-noised image can be improved, and a smaller target point can be observed conveniently.
Description
technical field [0001] The present application relates to the technical field of industrial security, in particular to an image denoising method, device, storage medium and electronic equipment. Background technique [0002] In the field of industrial safety, radiographic film can be used for metal flaw detection under complex working conditions, but due to complex environmental factors and limitations of imaging technology, the film often has a lot of noise. With the process of informatization, most of the films have been digitized and converted into electronic pictures, but noise will be introduced again during the digital imaging process. The existence of noise greatly affects the accuracy of manual film reading and software automatic film reading, so noise removal is very important. [0003] The traditional image noise removal method cannot distinguish the noise from the target, at the cost of sacrificing the accuracy, and it is easy to lose the smaller target on the fi...
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IPC IPC(8): G06T5/00G06N3/04G06N3/08
CPCG06N3/08G06T2207/20032G06N3/045G06T5/70
Inventor 程晓旭
Owner 博新融通(北京)科技有限公司