• Title/Summary/Keyword: Flame color analysis

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The Flame Color Analysis of Color Models for Fire Detection (화재검출을 위한 컬러모델의 화염색상 분석)

  • Lee, Hyun-Sul;Kim, Won-Ho
    • Journal of Satellite, Information and Communications
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    • v.8 no.3
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    • pp.52-57
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    • 2013
  • This paper describes the color comparison analysis of flame in each standard color model in order to propose the optimal color model for image processing based flame detection algorithm. Histogram intersection values were used to analyze the separation characteristics between color of flame and color of non-flame in each standard color model which are RGB, YCbCr, CIE Lab, HSV. Histogram intersection value in each color model and components is evaluated for objective comparison. The analyzed result shows that YCbCr color model is the most suitable for flame detection by average HI value of 0.0575. Among the 12 components of standard color models, each Cb, R, Cr component has respectively HI value of 0.0433, 0.0526, 0.0567 and they have shown the best flame separation characteristics.

A Color Flame Region Segmentation Method Using Temperature Distribution Characteristics of Flame (화염의 온도 분포 특성을 이용한 컬러화염 영역분할 방법)

  • Lee, Hyun-Sul;Kim, Won-Ho
    • Journal of Satellite, Information and Communications
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    • v.9 no.2
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    • pp.33-37
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    • 2014
  • This paper propose a method to sort flame regions and non-flame regions in a color image based on temperature Characteristics of flame. The traditional algorithms simply detect flame regions those are colored between yellow and red and there are lot of false detection in this method. But the colors of real flame are fallen between white and red and flame color variation over the flame. In this paper, it reduce false detection by separating colors according to temperature Characteristics of flame. The proposed method firstly finds a color model to express the temperature Characteristics of fire and then the color model is non-linearly quantized based on color values and analyzed using histogram and finally detect the candidate flame regions. The proposed method has 71.8% of matching rate and if it is compared with non-matching rate of traditional algorithms, the non-matching rate is improved by 27 times than others.

An Estimation of the Temperature Distribution and the Soot Density in Diesel Flame with the Two-Color Method using Image Analysis System (화상 2색법에 의한 디젤화염의 온도분포 및 매연농도의 평가)

  • 방중철;최익수
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.5
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    • pp.60-69
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    • 2003
  • The simplified two-color method is proposed which can estimate the temperature distribution and the soot density of the whole flame with the image analysis of the high-speed photographs. The factors influenced on its processing were examined, for example, the selection of the wave length, the kind of films, the preparation of the calibration curve between the radiance of flame and the luminance temperature. The simplified two-color method reported in this paper can be used as a tool for the improvement of the combustion process in direct injection diesel engine.

Stereoscopic Conversion of fame Images Based on Characteristics of Color Models (컬러 모델의 특성 기반 화염 영상의 입체 변환 기법)

  • Jeong, Da-Un;Choi, Ji-Eun;Jo, Cheol-Yong;Kim, Je-Doong;Gil, Jong-In;Kim, Man-Bae
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.25-27
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    • 2009
  • This paper presents the stereoscopic conversion of flame images. The stereoscopic conversion is a technology that generates left and right images from a monoscopic image. Even though many conversion methods have been introduced and commercialized so far, the processing of flame images is relatively few. Such conventional methods are effectively used either real-time or off-line. However, the application of such schemes to special-effect images such as flame is hard to be applied. The proposed method is designed to convert a flame image into a stereoscopic image. Depth map of flame regions are produced based on the analysis of color models of flames. Experimental results tested on diverse flame image sets validates the effectiveness of the proposed method.

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Analysis of Diesel Combustion Flames with Highly Oxygenated Fuels

  • Kim Bong-Seock;Ogawa Hideyuki
    • Journal of Advanced Marine Engineering and Technology
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    • v.29 no.6
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    • pp.662-670
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    • 2005
  • With highly oxygenated fuels the smoke emissions decreased sharply and linearly with increases in the fuel oxygen content and entirely disappeared at an oxygen content of $38wt-\%$ even at stoichiometric mixture conditions The NOx also decreased monotonically with increases in oxygen content. and thermal efficiency slightly improved because of a reduction in cooling loss and improvement in the degree of constant volume combustion. The mechanisms of the significant reductions in emissions and improvement in engine performance were analyzed with a bottom view type DI diesel engine. Together with direct flame images, flame images were taken through an optical fetter passing only two wavelengths for use in 2-D two-color analysis. The results showed that luminous flame decreased significantly with increases in oxygen content and was not detected for neat dimethoxy methane(DMM). The decrease in flame luminosity with highly oxygenated fuels corresponds with decreases in soot and cooling losses, including those due to heat radiation. The 2-D two-color flame analysis indicated that the high temperature flame and high KL factor areas apparently decreased with increasing fuel oxygen content. These results correspond strongly with decreases in NOx. smoke. and cooling loss with increases in oxygen content.

Video-based Intelligent Unmanned Fire Surveillance System (영상기반 지능형 무인 화재감시 시스템)

  • Jeon, Hyoung-Seok;Yeom, Dong-Hae;Joo, Young-Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.4
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    • pp.516-521
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    • 2010
  • In this paper, we propose a video-based intelligent unmanned fire surveillance system using fuzzy color models. In general, to detect heat or smoke, a separate device is required for a fire surveillance system, this system, however, can be implemented by using widely used CCTV, which does not need separate devices and extra cost. The systems called video-based fire surveillance systems use mainly a method extracting smoke or flame from an input image only. The smoke is difficult to extract at night because of its gray-scale color, and the flame color depends on the temperature, the inflammable, the size of flame, etc, which makes it hard to extract the flame region from the input image. This paper deals with a intelligent fire surveillance system which is robust against the variation of the flame color, especially at night. The proposed system extracts the moving object from the input image, makes a decision whether the object is the flame or not by means of the color obtained by fuzzy color model and the shape obtained by histogram, and issues a fire alarm when the flame is spread. Finally, we verify the efficiency of the proposed system through the experiment of the controlled real fire.

Flame Color, Spatial and Temporal Characteristic Analysis of Color Fire Images (컬러 화재영상의 화염 색상 및 시공간적 특성 분석)

  • Hwang, Jun-Cheol;Kim, Won-Ho
    • Journal of Satellite, Information and Communications
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    • v.6 no.2
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    • pp.41-45
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    • 2011
  • This paper presents a fire detection criterion based on flame color, spatial and temporal characteristic analysis of color fire images. To propose the criterion, Firstly the fire candidate regions were selected by using analyzed Cr and Y threshold value, and then texture analysis of candidate regions was performed by using DCT. Finally variation of Y values of these regions was calculated for temporal analysis. The proposed fire detection criterion was simulated by using fifteen test images and practicality was verified.

Video Flame Detection with Periodicity Analysis Based False Alarm Rejection (주기 신호 검출을 통한 거짓 경보 제거 기능을 갖춘 비디오 화염 감지 기법)

  • Lee, Sang-Hak
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.4
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    • pp.479-485
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    • 2011
  • A video flame detection method analyze the temporal and spatial characteristics of the regions which have the flame-like color and moving objects in the input video. The video flame detector should be able to reduce a false alarm rate without the degradation of flame detection capability. The conventional methods can reject the false alarm caused by the car lights and some electric lights. However they make the false alarm caused by the warning lights, neon sign, and some periodic flickering lights which have the flame-like color and temporal features. This paper propose the video flame detection method with periodicity analysis based false alarm rejection. The proposed method can detect the periodicity of the flickering electric lights and can reject the false alarm caused by the periodic electric lights. The computer simulation showed that the proposed method did not make the false alarm in the test video with the periodic electric lights. But the conventional methods made a false alarm in the same test video.

A Study on the Fire Cause Analysis of Motor Damage (전동기 소손에 대한 화재 원인 분석에 관한 연구)

  • Lee, Chun-Ha;Ok, Kyung-Jae;Kwon, Byung-Duck
    • Fire Science and Engineering
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    • v.21 no.4
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    • pp.59-64
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    • 2007
  • We studied on the fires about the electrical motors in this paper. We compared and analyzed about the transformation and damage state of single-phase induction motors used in the home appliances when we applied electrical overload and exterior flame. This experiment was progressed by the electrical overload application test and the exterior flame application test through the locked rotor of motor. In case of the exterior flame application test, it is divided into the apply voltage case and not apply voltage case. The result of an experiment through the locked rotor of motor, it was able to observe the short-circuit marks between layers at the winding coil parts, and it was appeared a transformed dendritic tissue structure of winding coil by the electrical overload test. The application voltage and the application exterior flame, it was confirmed that the stator winding coil parts were remain original shapes and observed that the color of the winding coil's circumference was changed to red. The non-application voltage and the application exterior flame, it was observed that the stator winding coil parts were transformed quite from original shapes. It was observed that the color of the winding coil and circumference parts was changed to red at the same case of non-application voltage.

Understanding Pollutant Emission in a Heavy-Duty Diesel Engine with JP-8 and Diesel (대형 디젤 엔진에서 JP-8 과 디젤 적용 시의 배기 배출물 특성에 대한 이해)

  • Lee, Jin-Woo;Bae, Choong-Sik
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.35 no.12
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    • pp.1375-1381
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    • 2011
  • Combustion processes in an optically-accessible single-cylinder heavy-duty diesel engine equipped with a highpressure common-rail injection system were investigated for JP-8 and diesel. Direct imaging and two-color thermometry were employed to verify the emission trend for both fuels. The combustion process was characterized by image analysis with focus on luminosity. The results of two-color thermometry were analyzed on the basis of the flame temperature and KL factor distribution. Analysis of the combustion process by direct imaging showed that the ignition delay was longer for JP-8 than for diesel, while the flame was extinguished rapidly. Analysis of the flame luminosity showed that the combustion intensity was higher for diesel and that the flame lasted for a longer duration in this case. Two-color thermometry results showed that the high-temperature region extended over a large area during JP-8 combustion, implying the formation of a large amount of $NO_x$. In addition, the KL factor showed low level over a large area and relatively homogeneous in the case of JP-8 combustion, which implied that less smoke was produced when using this fuel.