Intelligent scene image filtering system

Abstract

The invention relates to an intelligent scene image filtering system. The system comprises a height-adjustable closure element arranged at a drain hole of a wash basin, wherein the drain hole gap width is adjusted based on the height of the closure element, the higher the adjusted height of the closure element is, the larger the drain hole gap width of the water basin adjusted based on the heightof the closure element is; scene shooting equipment arranged in a bathroom and used for shooting the front of the water basin, thereby acquiring a front scene image and outputting the same; recursiveprocessing equipment connected with the scene shooting equipment and used for receiving the front scene image, wherein the self-adaptive recursive filtering processing is executed on the front scene image to acquire a first filtering image. Through the system disclosed by the invention, the drain hole gap width of the water basin can be adjusted to the preference height of the user, thereby catering to the use habit of each user.

Description

technical field [0001] The invention relates to the field of image filtering, in particular to an intelligent on-site image filtering system. Background technique [0002] Image filtering, that is, to suppress the noise of the target image under the condition of retaining the image details as much as possible, is an indispensable operation in image preprocessing, and its processing effect will directly affect the effectiveness and effectiveness of subsequent image processing and analysis. reliability. [0003] Due to the imperfection of imaging system, transmission medium and recording equipment, digital images are often polluted by various noises in the process of formation, transmission and recording. In addition, in some aspects of image processing, when the input object is not as expected, noise will be introduced into the resulting image. These noises often appear as an isolated pixel point or pixel block that causes a strong visual effect on the image. Generally, th...

AI Technical Summary

Problems solved by technology

Generally, the noise signal is irrelevant to the object to be studied It appears in the form of useless information, disturbing the observable information of the image

For digital image signals, the noise table is a large or small extreme value. These extreme values ​​act on the real gray value of the image pixel through addition and subtraction, causing bright and dark spot interference to the image, which greatly reduces the image quality and affects Follow-up work such as image restoration, segmentation, feature extraction, and image recognition

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