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Rotary kiln flame image recognition method based on complex wavelet domain decomposition

A flame image and recognition method technology, which is applied in the field of rotary kiln flame image recognition, can solve the problems of short recognition accuracy, inaccuracy, and inaccurate registration of continuous frame images during the operation process.

Inactive Publication Date: 2015-07-01
WUHAN UNIV OF SCI & TECH +1
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0004] "A method for identifying the firing state of a rotary kiln based on the structural similarity of flame images" (CN201310567666.0) is to judge the flame burning state of a rotary kiln from three different angles of image brightness, contrast, and structure. It has the advantages of high precision, but this method requires precise registration of the images, and it is difficult to prevent the small jitter of the CCD camera from causing a small displacement or a large rotation when collecting images of the firing conditions in the kiln. Small angle, so the continuous frame images will not be accurately registered, resulting in certain inaccuracies

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  • Rotary kiln flame image recognition method based on complex wavelet domain decomposition
  • Rotary kiln flame image recognition method based on complex wavelet domain decomposition
  • Rotary kiln flame image recognition method based on complex wavelet domain decomposition

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Embodiment 1

[0039] A recognition method of rotary kiln flame image based on complex wavelet domain decomposition. The specific steps of the identification method are:

[0040] Step 1.1: Select 10 standard flame images Q in normal state by rotary kiln operation experts LN , 10 standard flame images Q in normal state LN Form the normal flame library LN; then select 10 standard flame images Q in abnormal state by the rotary kiln operation experts LA , 10 standard flame images Q in abnormal stateLA The abnormal flame library LA, the normal flame library LN and the abnormal flame library LA are composed of the standard flame library L.

[0041] 10 standard flame images in normal state Q LN Perform grayscale transformation to obtain 10 standard flame grayscale images Y in normal state LN ; 10 standard flame grayscale images Y in normal state LN Compose the normal flame gray scale library GI; combine 10 standard flame images Q in abnormal state LA Perform grayscale transformation to obtain...

Embodiment 2

[0077] A recognition method of rotary kiln flame image based on complex wavelet domain decomposition. The specific steps of the identification method are:

[0078] Step 1.1: Select 10 standard flame images Q in normal state by rotary kiln operation experts LN , 10 standard flame images Q in normal state LN Form the normal flame library LN; then select 10 standard flame images Q in abnormal state by the rotary kiln operation experts LA , 10 standard flame images Q in abnormal state LA The abnormal flame library LA, the normal flame library LN and the abnormal flame library LA are composed of the standard flame library L.

[0079] 10 standard flame images in normal state Q LN Perform grayscale transformation to obtain 10 standard flame grayscale images Y in normal state LN ; 10 standard flame grayscale images Y in normal state LN Compose the normal flame gray scale library GI; combine 10 standard flame images Q in abnormal state LA Perform grayscale transformation to obta...

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Abstract

The invention relates to a rotary kiln flame image recognition method based on complex wavelet domain decomposition. According to the technical scheme, the method includes setting standard flame gray scale images Pym, a normal flame gray scale gallery GI and an abnormal flame gray scale gallery BI; acquiring an image P of the flame to be detected, performing gray scale transform on the image P of the flame to be detected, and acquiring an image x of the flame to be detected; performing average structure similarity coefficient calculation on the image x of the flame to be detected and all the flame gray scale images in a complex wavelet domain, and acquiring 2a average structure similarity coefficients passim (x, Pym); extracting a maximum value passim_MAX of the average structure similarity coefficients, if the standard flame gray scale image Pym corresponding to the maximum value passim_MAX of the average structure similarity coefficients belongs to the normal flame gray scale gallery GI, determining that the image P of the flame to be detected is in a normal state; if not, determining that the image P of the flame to be detected is in an abnormal state. The method has the advantages that the flame state change can be monitored online in real time, the image recognizing process is short, the recognizing accuracy is high, accurate image registration is omitted, and the high robustness is provided for noises.

Description

technical field [0001] The invention belongs to the technical field of recognition methods for flame images of rotary kilns. In particular, it relates to a recognition method of rotary kiln flame image based on complex wavelet domain decomposition. Background technique [0002] Rotary kiln is a thermal equipment used in calcination or roasting and other processing of various industrial raw materials. It is used for mechanical, physical or chemical treatment of input materials. It is widely used in building materials, chemical industry, metallurgy and other industries. Affected by the particularity of the structure of the rotary kiln and the complexity of the process, it is difficult to measure the quality indicators of the clinker obtained online, and it is also difficult to accurately identify the firing state of the clinker. In addition, the multi-variable strong coupling characteristics of the rotary kiln process and uncertain interference, etc. factors, the operation pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00G06K9/00G06K9/62
Inventor 柴利程远盛玉霞周晓杰
Owner WUHAN UNIV OF SCI & TECH
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