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A Texture Feature Measurement Method Based on Sliding Window Algorithm

A texture feature, sliding window technology, applied in the field of texture feature measurement, can solve the problem of not considering the surface particles of bubbles

Active Publication Date: 2022-03-15
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Aiming at the problem that the existing texture feature extraction of the flotation bubble image does not consider the bubble surface particles, the present invention uses the sliding window algorithm to define the texture feature measurement method particle density

Method used

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  • A Texture Feature Measurement Method Based on Sliding Window Algorithm
  • A Texture Feature Measurement Method Based on Sliding Window Algorithm
  • A Texture Feature Measurement Method Based on Sliding Window Algorithm

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Experimental program
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Embodiment Construction

[0041] figure 1 It is a flowchart of the present invention.

[0042] Step 1: Use the flotation on-site image acquisition system to collect the bubble video of zinc flotation and convert the bubble video into continuous images, and perform data preprocessing on the collected zinc flotation image data, as follows:

[0043] 1) Eliminate erroneous data that exceeds the normal change threshold;

[0044] 2) Eliminate incomplete data;

[0045] Step 2: Convert the bubble image from an RGB color image to a grayscale image, and obtain the grayscale matrix A of the image:

[0046]

[0047] e gf Represents the gray value corresponding to each pixel in the gray image, where g∈N, f∈N, N∈(400,800);

[0048] Step 3: In the bubble image, the normal shape of the bubble is a smooth surface. The highlighted point is located on the top of the convex surface of a single bubble. The highlighted point area presents the minimum gray value, and the highlighted point is the center, and the gray v...

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Abstract

A texture feature measurement method based on a sliding window algorithm. In the field of bubble flotation, the present invention proposes a texture feature measurement method based on a sliding window algorithm. This method extracts bubble images based on a digital image acquisition system set on site, and proposes The concept of the particle area is introduced, and the particle area on the surface of the bubble is accurately extracted by using the sliding window algorithm. The extracted particle area is classified according to the position of the center point, and then the density between the particle areas is measured, and the texture is defined. The density of characteristic grains is used to reflect the texture characteristics of the entire image. It effectively makes up for the defect that the traditional texture feature extraction method does not consider the bubble surface particles, so that it can judge the working conditions more accurately and effectively guide the dosing.

Description

technical field [0001] The invention belongs to the technical field of froth flotation, and in particular relates to a texture feature measurement method in the zinc flotation process. Background technique [0002] Froth flotation is a mineral processing method widely used at home and abroad. This method can effectively separate the target minerals according to the difference between the hydrophilicity and hydrophobicity of the mineral surface. In the process of froth flotation, the target mineral and its symbiotic gangue are ground into particles of suitable size and then sent to the flotation tank. The surface properties of different mineral particles are adjusted by adding reagents, while the flotation process is continuously stirred and blown to make the slurry A large number of bubbles with different sizes, shapes, textures and other characteristic information are formed in the flotation cell, so that useful mineral particles adhere to the surface of the bubbles, and th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/41
CPCG06T7/41G06T7/0004
Inventor 唐朝晖罗金张国勇李耀国范影
Owner CENT SOUTH UNIV
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