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Method for dividing image area based on RGB change trend

An image area and change trend technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of inaccurate edge detection, inaccurate division of areas, and insignificant color changes, and achieve accurate and accurate division results. The method is simple and effective, and the effect is easy to understand

Active Publication Date: 2019-12-27
SICHUAN CHANGHONG ELECTRIC CO LTD
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Problems solved by technology

The more classic algorithms include threshold-based segmentation (fixed threshold segmentation, adaptive threshold image segmentation, etc.), edge-based segmentation (Canny edge detection, etc.), region-based segmentation (seed region growth method, region splitting and merging method) etc.), etc., due to the lack of color information, these algorithms cannot distinguish regions with the same brightness but less obvious color changes, which makes edge detection inaccurate and results in inaccurate division of regions
Even if there are a few algorithms for area division based on color thresholds, a single color difference threshold is used as the judgment standard. This threshold selection ignores the influence of the local information of the image on the human eye's perception of color difference, and it is also difficult to judge the boundary. leading to inaccurate division of regions

Method used

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  • Method for dividing image area based on RGB change trend
  • Method for dividing image area based on RGB change trend
  • Method for dividing image area based on RGB change trend

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Embodiment 1

[0030] Such as figure 1 As shown, a method for dividing image regions based on RGB change trends mainly uses two rounds of similar judgments to divide image regions, and uses the similarity of the change directions of RGB three primary color channels and the proximity of pixel physical positions to determine whether a pixel is a certain region One of the clustering methods belongs to an image preprocessing method.

[0031] Specifically, in this embodiment, the method for dividing the image area based on the RGB variation trend specifically includes the following steps:

[0032] Step S01. accept picture input, the picture input in this embodiment is such as figure 2 The original picture shown, specifically, figure 2 The image shown is actually the image after decolorization of the original image, and in this embodiment, the image information with length X=91 pixels and width Y=27 pixels is obtained from the image.

[0033] Step S02. Read figure 2 The RGB color channel si...

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Abstract

The invention discloses a method for dividing an image area based on an RGB change trend. The method mainly uses two rounds of similarity judgment for dividing an image area, and judgeswhether a pixelpoint is one of certain area clusters or not according to the change direction similarity of RGB three-primary-color channels and the physical position proximity of the pixel point, and the method belongs to a picture preprocessing method. According to the method for dividing the image area based on the RGB change trend, judgment can be carried out according to the change trend of the color signal, so that edge division is clearer, and the accuracy of image area division is effectively improved.

Description

technical field [0001] The invention relates to the technical field of image object recognition preprocessing, in particular to a method for dividing image regions based on RGB variation trends. Background technique [0002] Image segmentation is a basic computer vision technology and a key step from image processing to image analysis. Effective and reasonable image segmentation can abstract very useful information for content-based image retrieval, object analysis, etc., thus making higher-level image understanding possible. But image segmentation is still a problem that has not been well solved so far, and it is still a hot research topic. [0003] Most of the existing image segmentation methods convert the image to be processed into a grayscale image, and use the direct difference of the grayscale value of the image to determine the similarity of the image pixels based on the threshold value, judge the image boundary, and divide the image Area. The more classic algorit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/12G06T7/136G06T7/187G06T7/90
CPCG06T7/12G06T7/136G06T7/187G06T7/90G06T2207/10024
Inventor 赖俊良
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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