Median filtering image processing method and apparatus

Abstract

The invention discloses a median filtering image processing method and apparatus. The method includes the steps of inputting an NXN pixel matrix, calculating the absolute values of differences between the central pixel point of the pixel matrix and all other pixel points, sequentially determining whether the absolute values of the differences between the central pixel point of the pixel matrix and all other pixel points are greater than a first preset threshold, recording the number of pixel points, of which the absolute values of the differences with the central pixel point are greater than the first preset threshold, determining whether the number of the pixel points, of which the absolute values of the differences with the central pixel point are greater than the first preset threshold is greater than a second preset threshold, and if yes, conducting filtering processing for the central pixel point, otherwise conducting no filtering processing. Discrete impulse noise points in noised images can be removed through median filtering processing, thereby retaining high-frequency edges of the image, and facilitating processing of subsequent modules. A detection algorithm employing gradient determination effectively prevents deleting non-noise points by mistake.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a median filter image processing method and device. Background technique [0002] A large number of experimental studies have found that images captured by cameras are seriously affected by discrete pulses, salt and pepper noise, and zero-mean Gaussian noise. Noise brings many difficulties to image processing, and has a direct impact on image segmentation, feature extraction, and image recognition. Therefore, the images collected in real time need to be filtered. The operation of removing noise components in an image is called smoothing or filtering of an image. There are two purposes of filtering: one is to extract the characteristics of the object as the feature pattern of image recognition; the other is to meet the requirements of computer processing and eliminate the noise mixed in when the image is digitized. [0003] However, the existing filtering algorithms not ...

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Problems solved by technology

[0004] For this reason, it is necessary to provide a technical solution for median filter image processing, which is used to solve the problem of high algorithm complexity, low efficiency, and easy judgment errors when the existing filter algorithm removes image noise, resulting in unclear images and poor visual effects, etc. question

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