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Image segmentation method based on Gaussian smoothing filter

A Gaussian smoothing filter and image segmentation technology, which is applied in the field of image processing, can solve problems such as increasing the complexity of solving problems, and achieve good segmentation effects and clear edges

Inactive Publication Date: 2015-12-02
CHENGDU RONGCHUANG ZHIGU SCI & TECH
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Problems solved by technology

People hope to introduce some artificial knowledge-oriented and artificial intelligence methods to correct some errors in segmentation, which is a promising method, but this increases the complexity of the problem

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  • Image segmentation method based on Gaussian smoothing filter
  • Image segmentation method based on Gaussian smoothing filter
  • Image segmentation method based on Gaussian smoothing filter

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[0027] All features disclosed in this specification, or steps in all methods or processes disclosed, may be combined in any manner, except for mutually exclusive features and / or steps.

[0028] The information in an image includes three parts: target object, background and noise. Image binarization is an image processing method to obtain the target object in the image. After binarization, all pixels in the image will be will change to white or black. When the image contains only two parts of information, the foreground and the background, the pixel value of the foreground can be set to 1, and the pixel value of the background can be set to 0, so that the image is binarized. There are many methods of binarization, generally divided into global threshold method and local threshold method

[0029] The global threshold method refers to a method that uses only one global threshold T in the binarization process. It compares the gray value of each pixel of the image with T, if it i...

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Abstract

An image segmentation method based on a Gaussian smoothing filter is provided. The method comprises the following steps: carrying out a weighted average operation on three components (RGB) by means of different weights according to the importance of the three components and other indexes; adopting histogram equalization to correct a histogram at first, correcting the histogram of an original image and enabling the histogram to be evenly distributed through a gray scale transformation function, and then conducting histogram equalization; conducting Gaussian smoothing filtering on the image, adopting a method utilizing only one global threshold T during a binary process, comparing the gray value of each pixel of the image with the T, and taking a foreground color if the gray value is greater than the T, otherwise, taking a background color; taking a central point P corresponding to the maximum number of pixels within L gray scale ranges as an initial mean value; checking each pixel during the i iteration, and calculating the distance between each pixel and the mean value of each gray scale, and giving each pixel the mean value closest to the class of the pixel; for j=1,2,...1, calculating a new cluster center, and updating a class mean value; and checking all the pixels one by one.

Description

technical field [0001] The invention relates to the technical field of image processing, and provides an image segmentation method based on Gaussian smoothing filter. Background technique [0002] Image segmentation is the technology and process of dividing an image into several specific regions with unique properties and proposing objects of interest. It is a key step from image processing to image analysis. The existing image segmentation methods are mainly divided into the following categories: threshold-based segmentation methods, region-based segmentation methods, edge-based segmentation methods, and segmentation methods based on specific theories. Since 1998, researchers have continuously improved the original image segmentation methods and applied some new theories and methods from other disciplines to image segmentation, and proposed many new segmentation methods. The objects extracted after image segmentation can be used in image semantic recognition, image search...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 张岱齐弘文
Owner CHENGDU RONGCHUANG ZHIGU SCI & TECH
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