Method to estimate colors of amber debris

Kageyama, Yoichi; Ishikawa, Hina; Ishizawa, Chikako; Takahashi, Tsuyoshi; Nishida, Makoto; Shinden, Hisao; Takisawa, Toshio; Koyama, Taro; Kobushi, Makoto

doi:10.1002/tee.22686

Cited by 2 publications

(9 citation statements)

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“…First, the proportion of pixels where R = V is obtained from the amber area of the target top‐light image . When the resulting value is 75% or more, it is determined to be amber.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…To estimate the amber color of the target image, two degrees of attribution (α and β) are calculated . Degree of attribution α …”

Section: Proposed Methodsmentioning

confidence: 99%

“…As in the conventional method, the illuminance of the Experimental Images A and B is set to 1500 lx for the top‐light image and 750 lx for the bottom‐light image .…”

Section: Data Acquisition Environment and Color Featuresmentioning

confidence: 99%

“…In a previous study, we focused on the hue, saturation, value (HSV) color space and the red, green, and blue (RGB) color space of amber with a size ranging between 1 to 2 cm . In previous experiments, it was found that each of the three amber types other than AOC demonstrated little overlap in the mode value of the H component.…”

Section: Data Acquisition Environment and Color Featuresmentioning

confidence: 99%

“…However, there are not any studies on color estimation of amber. Therefore, in a previous study, we demonstrated the color features of amber using a method that estimates amber in four colors (yellow, brown, black, and amber with outer cover [AOC] created using a solid resin or amber dirt) .…”

Section: Introductionmentioning

confidence: 99%

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Analyzing amber color features and methods of estimating colors of amber debris

Ishikawa

Kageyama

Ishizawa

et al. 2020

IEEJ Transactions Elec Engng

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In our previous study, we presented a method of estimating the color of amber using the red, green, and blue (RGB) color space and the hue, saturation, and value (HSV) color space. In particular, the method estimates the color of amber on a target image consisting of four colors (yellow, brown, black, and amber with an outer cover [AOC]). However, because of the existence of amber with a partially exposed outer cover (APEOC), the estimated accuracy of AOCs was 57.1%. In addition, the size of the amber used in the study was approximately 1-2 cm, considering improvements in versatility. It is also necessary to estimate the color of amber with a size of approximately 3-5 mm, which is even smaller. However, because the color of brown amber is similar to yellow amber, the estimation accuracy of amber having a size of less than 1 cm, using conventional methods, was 62.1%. Therefore, in this paper, we propose a method that switches the estimation method in terms of color features and amber of sizes ranging between 1 and 2 cm and those of 1 cm or less. Based on the experimental results of the proposed method, estimation accuracies of 94.1% for 185 ambers with a size of 1-2 cm and 96.0% for 125 ambers with a less than 1 cm were achieved.

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“…First, the proportion of pixels where R = V is obtained from the amber area of the target top‐light image . When the resulting value is 75% or more, it is determined to be amber.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…To estimate the amber color of the target image, two degrees of attribution (α and β) are calculated . Degree of attribution α …”

Section: Proposed Methodsmentioning

confidence: 99%

“…As in the conventional method, the illuminance of the Experimental Images A and B is set to 1500 lx for the top‐light image and 750 lx for the bottom‐light image .…”

Section: Data Acquisition Environment and Color Featuresmentioning

confidence: 99%

Section: Data Acquisition Environment and Color Featuresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Analyzing amber color features and methods of estimating colors of amber debris

Ishikawa

Kageyama

Ishizawa

et al. 2020

IEEJ Transactions Elec Engng

Self Cite

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Improvement of Method to Estimate Colors of Amber

Ishikawa

Kageyama

Ishizawa

et al. 2018

Proceedings of the 6th IIAE International Conference on Intelligent Systems and Image Processing 2018

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In a previous study, we demonstrated the color features of ambers and a method to estimate amber colors. We specifically focused on the red, green, blue (RGB) color space and the hue, saturation, value (HSV) color space. We proposed a method to estimate amber in four colors (yellow, brown, black, and ambers with an outer cover (AOCs) created with solid resin or amber dirt). However, due to the presence of ambers with partially exposed outer covers (APEOCs), the estimation accuracy of AOCs was 57.1%. In this paper, we therefore demonstrate the color features of ambers and a method aimed at improving the estimation accuracy of AOCs. Specifically, we focus on five kinds of ambers: three colors (yellow, brown, and black), AOCs and APEOCs are examined. The proposed method consists of masking, detection of AOC, estimation of amber color, and detection of APEOC. Experimental results for 185 ambers show that the proposed method can estimate amber color with an accuracy of 96.7%. It is also shown that an estimation accuracy of 91.4% for AOC color estimations is achieved.

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Method to estimate colors of amber debris

Cited by 2 publications

References 1 publication

Analyzing amber color features and methods of estimating colors of amber debris

Analyzing amber color features and methods of estimating colors of amber debris

Improvement of Method to Estimate Colors of Amber

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