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Extraction method of multi-scale and multi-directional texture features of foam images

A texture feature and foam image technology, applied in the field of image processing technology and pattern recognition, can solve the problem of difficulty in accurately characterizing the scale characteristics of foam texture.

Active Publication Date: 2016-08-17
CENT SOUTH UNIV
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Problems solved by technology

The gray level co-occurrence matrix can describe the structural features of the texture image in the directions of 0°, 45°, 90° and 135°, but they are all obtained at a single scale, lacking the description of the inter-scale dependence of the foam texture, it is difficult to accurately Characterize the multi-scale characteristics of foam texture

Method used

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  • Extraction method of multi-scale and multi-directional texture features of foam images
  • Extraction method of multi-scale and multi-directional texture features of foam images
  • Extraction method of multi-scale and multi-directional texture features of foam images

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Embodiment 1

[0068] There are three kinds of foam in a copper flotation site, which are normal foam, hydration foam and viscous foam. The foam images of these three different working conditions are as follows figure 1 shown.

[0069] The first step is to obtain the foam image according to the foam video obtained at the copper flotation site, and grayscale the RGB image. Then, the curve wave decomposition is performed on the obtained foam gray image, so as to obtain the set of curve wave coefficient matrices on different scales;

[0070] Step 1: Read the RGB foam image from the original foam video;

[0071] Step 2: Grayscale the RGB foam image. Raw RGB Foam Image K 512×512×3 After grayscale, it becomes a foamy grayscale image T 512×512 ;

[0072] Step 3: Perform fast discrete curve wave transformation on the foam grayscale image obtained in step 2. The transformation method of the curve wave is set to complex-valued curve wave, and the number of scale layers is J=[log 2 N]-3. At thi...

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Abstract

The invention discloses a method for extracting multi-scale and multi-directional texture features of foam images. First, the foam grayscale image is subjected to curve wave transformation, and then the curve wave subgraphs of different scales and directions are respectively processed to extract multi-scale and multi-directional textures. Representation information, constituting the feature vector of the bubble image. According to the obtained texture features, the foam images of different working conditions can be distinguished. The foam image multi-scale and multi-directional texture feature extraction method has good pattern separability for foam image recognition and is easy to implement.

Description

technical field [0001] The invention relates to a method for extracting multi-scale and multi-directional texture features of foam images, which belongs to the fields of image processing technology and pattern recognition. Background technique [0002] In image research, texture is an important feature, which is closely related to image resolution and can only be perceived at a certain scale. According to the psychological research on human visual perception of texture, the three most important dimensions in human texture recognition tasks are directionality, periodicity and randomness, among which direction is a particularly important factor. Therefore, the description of texture features must have multi-scale and multi-directional characteristics. [0003] The flotation foam image contains rich detailed textures and singular curves. The texture changes irregularly in all directions, and the edge curves between bubbles are irregular. It is very difficult to accurately desc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06T7/00
Inventor 彭涛赵璐曹威彭小奇宋彦坡赵林黄易
Owner CENT SOUTH UNIV
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