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A Color Image Segmentation Method Based on Spherical Particle Computing

A color image and granular computing technology, applied in the field of image processing, can solve the problems of inconsistent visual effect and slow image segmentation, and achieve the effect of good segmentation effect and speed up.

Inactive Publication Date: 2016-02-10
XINYANG NORMAL UNIVERSITY
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Problems solved by technology

[0005] In view of the above situation, in order to solve the defects of the prior art, the purpose of the present invention is to provide a color image segmentation method based on spherical particle calculation, which can effectively solve the problem that the images segmented by the prior art do not conform to people's visual effects and the speed of image segmentation. slow problem

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  • A Color Image Segmentation Method Based on Spherical Particle Computing
  • A Color Image Segmentation Method Based on Spherical Particle Computing
  • A Color Image Segmentation Method Based on Spherical Particle Computing

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Embodiment 1

[0045] The first step is to extract the RGB values ​​of known color image pixels, such as figure 2 It is a 2×3 color image, the RGB value of the pixel (1,2) is (35.7, 178.5, 40.8), and the RGB value after dividing by 255 is (0.14, 0.7, 0.16);

[0046] In the second step, according to the RGB value of the known color image, the spherical particle set is constructed, and the figure 2 The RGB value of is expressed as an atomic spherical particle, and its spherical particle set is GS={g 1 , g 2 , g 3 , g 4 , g 5 , g 6}, where g 1 =(0,0,0,0),g 2 =(0.14,0.7,0.16,0),g 3 =(0.3,0.38,0.36,0),g 4 =(0.46,0.06,0.48,0),g 5 =(0.6,0.76,0.68,0),g 6 =(0.76,0.44,0.88,0);

[0047] The third step, merging spherical particles, figure 2 Two spherical grains g 1 =(0,0,0,0) and g 2 =(0.14,0.7,0.16,0), through formula 1 and formula 2, calculate the combined spherical particles as g 1 ∨ g 2 =(0.07,0.35,0.08,0.3658), see the combined result image 3 ;

[0048] The fourth step is to ...

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Abstract

The invention relates to a color image cutting method based on spherical particle calculation. The color image cutting method based on spherical particle calculation can effectively solve the problems that images cut in the prior art do not accord with visual effect of people and image cutting speed is low. According to the technical scheme, the color image cutting method based on spherical particle calculation comprises the steps that firstly, RGB values of pixels of known color images are extracted; secondly, a spherical particle set is built according to the RGB values of the known color images; thirdly, spherical particles are merged; fourthly, a particle size threshold valve rhu is set, and a spherical particle template is built; fifthly, the RGB value of the pixel of a color image to be cut is extracted; sixthly, the RGB value of the pixel of the color image to be cut is expressed as a spherical particle; seventhly, the fuzzy inclusion degree between the atomic spherical particle of the color image to be cut and a spherical particle in the spherical particle template is calculated; eighthly, the RGB value of the pixel of the color image to be cut is determined; ninthly, the cut color image is saved. The color image cutting method based on spherical particle calculation accelerates color image cutting, is good in cutting effect and is an innovation on color image cutting methods.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a color image segmentation method based on spherical particle calculation. Background technique [0002] Image segmentation is a basic problem in the field of computer vision, and it is also an important research direction of image processing and image understanding. Its purpose is to distinguish different regions with special meaning in the image, and these regions are mutually disjoint. Each region satisfies the conformance of a specific region. In the past few decades, researchers have conducted a lot of research on automatic image segmentation technology, and many algorithms have been proposed, which can be divided into: threshold segmentation technology, differential operator edge detection, region growth technology and clustering segmentation technology, etc. . Granular computing is a method of dividing the problem space, that is, dividing a complex problem into ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 刘宏兵李艳灵李蕾柳春华陈旭生邬长安
Owner XINYANG NORMAL UNIVERSITY
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