A method to estimate correlated color temperatures of illuminants using a color video camera

Abe, Masato; Ikeda, Hiroaki; Higaki, Yasuki; Nakamichi, M.

doi:10.1109/19.69944

Cited by 13 publications

(3 citation statements)

References 2 publications

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“…Air ratio and relative spectral intensity can be estimated by using flame color. In that [10] has explored a new indirect method, which estimates the temperature from respective color of light sources. They use color video camera having fixed white balance, set of color chips and microcomputer for experimental setup.…”

Section: Literature On Related Workmentioning

confidence: 99%

Temperature Measurement Of Visible Heat Sources Using Neural Network

Mane¹,

Patil²

2015

ELELIJ

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In any industrial processes, the temperature measurement is an important requirement. Presently thermocouples, pyrometers and contact type sensors etc. devices and techniques are used for temperature measurement of several heat sources. Temperature measurement of furnace, boiler,burner etc. is a very difficult and tedious task also breakage of sensors occurs due to such high temperature so it requires daily maintenance. In this proposed system image processing and neural network technique is used to estimate the temperature of visible heat sources. System uses camera to take the images of heat source. Thermocouple will be used to measure the actual temperature. Various analytical techniques can be applied to estimate the color temperature correlation. Artificial neural network (ANN) is used to create the database of captured images and measured temperature so that approximate temperature is estimated.

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Section: Literature On Related Workmentioning

confidence: 99%

Temperature Measurement Of Visible Heat Sources Using Neural Network

Mane¹,

Patil²

2015

ELELIJ

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“…Flame image recognition technology was used to obtain the distribution of the whole flame temperature field [8]. Abe et al [9] proposed an indirect method to estimate light source color or the correlated color temperature of illuminants. The correlated color temperature of the light source illuminating the color chips is estimated.…”

Section: Introductionmentioning

confidence: 99%

Characterization of In-Cylinder Combustion Temperature Based on a Flame-Image Processing Technique

et al. 2019

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The analysis of in-cylinder combustion temperatures using flame image processing technology is reliable. This method can accurately, intuitively, and in real time obtain the temperature field distribution law of the combustion flame in the cylinder, so we can more deeply understand the characteristics of the combustion process of internal combustion engines. In this paper, a high-speed charge-coupled device (CCD) camera is used to record an in-cylinder combustion image, which is calculated and corrected according to the principle of three primary color temperature measurement, and the temperature field distribution of the combustion flame in the diesel engine cylinder is analyzed in detail. In addition, the temperature of the typical combustion flame images under the open-cycle and closed cycle conditions is compared by the CMS2002 measurement and MATLAB program, respectively. The results show that the accuracy of the MATLAB program is acceptable in general but not entirely acceptable in a few ways.

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“…As far as automatic white balancing (AWB) is concerned, various AWB algorithms have been introduced in the literature, for example [1][2][3][4][5][6][7][8][9][10]. The most widely used algorithm is based on the ''gray-world'' assumption [2].…”

Section: Introductionmentioning

confidence: 99%

Real-time auto white balancing for digital cameras using discrete wavelet transform-based scoring

Kehtarnavaz

Kim

Gamadia

2006

J Real-Time Image Proc

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In digital cameras, the process of making white colors to appear as white under different illuminants is referred to as auto white balancing. This paper presents an auto white balancing algorithm, named discrete wavelet transform (DWT)-based scoring, which is computationally much more efficient than the original auto white balancing scoring algorithm. Its computational efficiency is thus utilized to achieve a real-time implementation on an actual digital camera platform. The platform consists of the Texas Instruments TMS320DM320 programmable processor which is specifically designed for the digital camera market. The real-time implementation results indicate the effectiveness of this algorithm in identifying a scene illuminant as compared to the widely used gray-world auto white balancing algorithm.

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A method to estimate correlated color temperatures of illuminants using a color video camera

Cited by 13 publications

References 2 publications

Temperature Measurement Of Visible Heat Sources Using Neural Network

Temperature Measurement Of Visible Heat Sources Using Neural Network

Characterization of In-Cylinder Combustion Temperature Based on a Flame-Image Processing Technique

Real-time auto white balancing for digital cameras using discrete wavelet transform-based scoring

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