Morphological Filtering Method of Color Image Based on Global Image Space

Abstract

The present invention proposes a color image morphological filtering method based on the whole image space, which mainly solves the problems of different degrees of color blurring and poor effect in the existing color image filtering methods and the introduction of color images that do not belong to the original color image during the color image filtering process. A matter of color. Its implementation steps are: (1) input the color image to be filtered; (2) map the image to the whole image space; (3) select the structure image; (4) calculate the maximum value of the eight-neighborhood weighted color image; ( 5) pass through the average filter; (6) output the color image filtering result. The invention has the advantages of protecting the integrity of color information, effectively avoiding the appearance of new color components, and protecting the topological structure of the image, and can effectively complete the filtering process of the color image while ensuring the balanced distribution of colors, and can be used for image denoising.

Description

technical field [0001] The invention belongs to the technical field of electronic computing, and further relates to a color image morphological filtering method based on a full image space in the technical field of image data processing. The invention maps the color image to the graph space, the vector pixels in the color image are mapped to the vertices of the graph, and the adjacency relationship between the vector pixels is mapped to an edge set, and a new model including vector vertices and edge sets is constructed to realize the filtering of the color image , which can be applied to color image denoising. Background technique [0002] Color image filtering is to suppress the noise of the target image under the condition of preserving the details of the color image as much as possible. Color image filtering is an important issue in color image processing and plays an important role in the research of color image analysis. Its processing effect will directly affect the v...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that it does not consider the correlation between the three channels of red, green and blue RGB, which destroys the topological structure of the image and introduces the problem of colors that do not belong to the original color image in the process of color image filtering.

The disadvantage of this method is that there are different degrees of color blurring and poor effect.

The disadvantage of this method is that although the edge information in the image is not blurred, the protection of the image details is not good enough, resulting in the overall color imbalance of the image.

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