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Bubble image segmentation method based on pyramid and valley point boundary tracking

A technology of boundary tracking and image segmentation, applied in the field of image processing, it can solve the problems of not achieving real-time processing, difficult to find seed points, and slow segmentation speed.

Inactive Publication Date: 2012-10-03
CHANGAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main reasons for the failure of this algorithm are: it is difficult to find all the seed points or surfaces with the algorithm of the overall threshold value, because the gray level difference of the white light points between the bubbles is large; ② some bubbles do not contain There are no seed points; ③Some bubbles contain more than two white light points, so the extra seed points will split a bubble into several small bubbles; ④It is easy to cross the bubble by expanding the method ⑤ Since a 512×152 dot matrix image may contain thousands of bubbles, the mathematical algorithm makes the segmentation speed too slow to meet the requirements of real-time processing

Method used

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  • Bubble image segmentation method based on pyramid and valley point boundary tracking
  • Bubble image segmentation method based on pyramid and valley point boundary tracking
  • Bubble image segmentation method based on pyramid and valley point boundary tracking

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Embodiment Construction

[0019] see figure 1 , according to the technical solution of the present invention, this embodiment provides a bubble image segmentation method based on pyramid and valley point boundary tracking. This method obtains binary boundary images at one time, and accurately obtains the closed contours of all bubbles through the following sub-algorithm , specifically follow the steps below:

[0020] 1) Input the bubble image, perform Gaussian smoothing, and remove the noise in the image;

[0021] The principle of Gaussian smoothing is as follows:

[0022] The binary boundary image can be written as: g(x,y)=f(x,y)*h(x,y), where h is a smoothing filter.

[0023] This application adopts Gaussian filter, its function is:

[0024] h = ( x , y ; σ gauss ) = exp ( - ...

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Abstract

The invention discloses a bubble image segmentation method based on pyramid and valley point boundary tracking. The bubble image segmentation method based on pyramid and valley point boundary tracking includes the steps of image preprocessing, image reduction, valley point boundary scanning, endpoint detection and connection, area merging, segmentation result mapping and the like. By the method, all valley points (namely the bubble boundaries) can be detected once, an algorithm is insusceptible to white light spots in bubbles, and binary images on the valley point boundary can be directly obtained without image threshold processing.

Description

technical field [0001] The invention relates to image processing, in particular to a bubble image segmentation algorithm based on pyramid and valley point boundary tracking. Background technique [0002] The bubble image on the surface of mineral processing flotation has the following characteristics: ①There is no background, it is completely composed of small and large bubbles; ②Due to light reflection and refraction, there are white light spots in some bubbles, and the size of the light spots varies; ③ The boundary between the bubbles is weak; ④ Irregular motion blurs the image; ⑤ The size ratio of the bubbles is too large, which can be as high as dozens of times; ⑥ Each bubble has a growth period. When the bubbles start to burst, the bubbles begin to appear Black holes, black holes from small to large, until the entire bubble is burst; ⑦Because of the illumination or the sharp change of the thickness of the bubble, the entire image is unevenly illuminated. Similar images...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00
Inventor 王卫星周洲
Owner CHANGAN UNIV