Method for identifying foam working condition on copper flotation site based on wavelet multi-scale binaryzation

A copper flotation and foam technology, applied in the field of image processing technology and pattern recognition, can solve the problems that affect the accurate judgment of working conditions, and it is difficult to describe the appearance of foam

Active Publication Date: 2013-10-09
CENT SOUTH UNIV
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the traditional statistical features extracted by wavelet analysis have multi-scale characteristics, it is difficult to describe the appearance of foam that conforms to the visual habits of workers, thus directly affecting the accurate judgment of working conditions

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
  • Method for identifying foam working condition on copper flotation site based on wavelet multi-scale binaryzation
  • Method for identifying foam working condition on copper flotation site based on wavelet multi-scale binaryzation
  • Method for identifying foam working condition on copper flotation site based on wavelet multi-scale binaryzation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] The specific embodiment of the present invention is described below in conjunction with accompanying drawing, there are three kinds of foams of different working conditions in a certain copper flotation site, are respectively normal foam, hydration foam and viscous foam, the foam images of these three kinds of different working conditions are as follows figure 1 shown.

[0064] In the first step, according to the foam video obtained at the copper flotation site, the foam image is obtained, and the three-dimensional image is grayscaled. Then wavelet decomposition is performed on the two-dimensional grayscale image to obtain wavelet subgraphs on different scales. Ignore the characteristics of each order detail subgraph, and only perform single-branch reconstruction on each order approximation subgraph to obtain the reconstructed approximation subgraph.

[0065] Step 1: Grayscale the original foam image;

[0066] Raw 3D RGB foam image K (X×Y×3) After grayscale, it beco...

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 a method for identifying the foam working condition on a copper flotation site based on wavelet multi-scale binaryzation. The method comprises the steps of carrying out wavelet transformation on a foam grey image; carrying out binaryzation on wavelet approaching subgraphs with different scales; carrying out statistical calculation on white areas of all binary images according to the space-frequency relation of two-dimensional wavelet transformation to obtain a novel multi-scale statistical characteristic, namely an equivalent dimension characteristic directly related to the apparent form of foam. A foam image equivalent dimension distribution diagram can be obtained according to the obtained equivalent dimension characteristic, and foam images with different working conditions can be distinguished directly through the distribution diagram. The method for identifying the foam working condition on the copper flotation site based on the wavelet multi-scale binaryzation is simple and efficient, and has great guiding significance for foam working condition identification on the copper flotation site.

Description

technical field [0001] The invention relates to a wavelet multi-scale binarization-based recognition method for copper flotation foam working conditions, which belongs to the fields of image processing technology, pattern recognition and the like. Background technique [0002] The flotation working condition is the working condition in the flotation production process, timely and accurate identification of the working condition is very important to guide the flotation production. The traditional way of relying on workers to observe the apparent changes of foam with naked eyes can no longer meet the needs of rapid and accurate identification of working conditions in today's flotation production. With the rapid development of technologies such as machine vision and image processing, great progress has been made in the intelligent identification of working conditions based on the foam characteristics of flotation sites. By quickly and accurately identifying the working conditi...

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): G06K9/54
Inventor 彭涛曹威黄易卢明桂卫华阳春华粟梅韩华
Owner CENT SOUTH UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap