Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Extraction method for multi-scale multi-direction textural features of froth images

A technology of texture features and foam images, which is applied in the field of image processing technology and pattern recognition, can solve the problem that it is difficult to accurately describe the scale characteristics of foam textures

Active Publication Date: 2014-02-05
CENT SOUTH UNIV
View PDF3 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Extraction method for multi-scale multi-direction textural features of froth images
  • Extraction method for multi-scale multi-direction textural features of froth images
  • Extraction method for multi-scale multi-direction textural features of froth images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] 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.

[0068] 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;

[0069] Step 1: Read the RGB foam image from the original foam video;

[0070] 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 ;

[0071] 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 this...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an extraction method for multi-scale multi-direction textural features of froth images. First, froth grayscale images are subjected to curvelet transformation; then, curvelet subgraphs with different scales in different directions are processed respectively, and multi-scale multi-direction textural representation information is extracted to form feature vectors of the froth images; the froth images with different working conditions can be distinguished according to obtained textural features. The extraction method for the multi-scale multi-direction textural features of the froth images has good pattern separability with respect to identification of the froth images, 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products