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An Improved Foam Image Segmentation Method Based on Watershed Transform

A technology of watershed transformation and foam image, which is applied in the field of image processing, can solve the problems of dependence on size and shape distribution, poor effect, etc., and achieve the effect of improving segmentation effect, reducing under-segmentation phenomenon, and satisfactory segmentation effect

Active Publication Date: 2018-03-13
湖南军芃科技股份有限公司
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Problems solved by technology

The above-mentioned methods rely heavily on the size and shape distribution of the bubbles, and the effect is not good when segmenting mixed images of large and small bubbles. Hao Yingming et al. proposed an adaptive threshold method for segmentation, but still did not completely solve the problem

Method used

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  • An Improved Foam Image Segmentation Method Based on Watershed Transform
  • An Improved Foam Image Segmentation Method Based on Watershed Transform
  • An Improved Foam Image Segmentation Method Based on Watershed Transform

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Embodiment

[0041] The basic idea of ​​watershed transform: watershed transform is a mathematical morphology segmentation method based on topology theory. Altitude, using gradient information to find connected regions of an image. This method assumes that each local minimum and its surrounding area form a catchment basin, and as the water potential rises, the catchment basin gradually expands, and the confluence of the catchment basins is the watershed.

[0042] The watershed represents the maximum point of the input image, and the gradient image is usually used as the input image, that is,

[0043]

[0044] In the formula, f(x, y) represents the original image, and grad() represents the gradient operation.

[0045] The calculation process of the watershed is an iterative labeling process. First, each pixel is sorted according to the gray level from low to high, and then in the process of submerging from low to high, each local minimum is in the H-minimum area Use the first-in-first-...

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Abstract

The invention relates to an improved foam image segmentation method based on watershed transformation. The method comprises the following steps: step 1, carrying out foam image enhancement; step 2, carrying out H- minimum region transformation; step 3, checking a reception basin mark; step four, carrying out reception basin marking morphology shaping; step 5, reconstructing a foam image; and step 6, carrying out foam edge segmentation. According to the improved foam image segmentation method provided by the invention, on the basis of technologies of gradient transformation, top-hat and bottom-hat transformation, and marking shaping and the like, a large foam reception basin mark is determined by using a high threshold value and a small foam reception basin mark is determined by using a low threshold value, thereby improving accuracy of the reception basin mark. The experiment result shows that the method has advantages of high segmentation precision and high robustness.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an improved watershed transform-based foam image segmentation method. Background technique [0002] Foam image segmentation can be used to judge mineral flotation conditions. Commonly used image segmentation algorithms include threshold-based segmentation methods, region-based segmentation methods, and edge-based segmentation methods. One of the characteristics of the flotation foam image is that it has no background, and there are phenomena such as deformation, superposition, and adhesion, which are suitable for segmentation methods based on region growing. Watershed transform is a typical segmentation method based on region growing, which is widely used in intelligent transportation systems, medical image analysis, and remote sensing detection. Many experts and scholars have made many beneficial attempts in applying and improving watershed transform to segment foam i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/12G06T7/136
CPCG06T7/12G06T2207/20048
Inventor 伍雁鹏彭小奇阮凯
Owner 湖南军芃科技股份有限公司
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