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How to cite (IEEE):
A. Abadi, & S. Tahcfulloh
"Digital Image Processing for Height Measurement Application Based on Python OpenCV and Regression Analysis," JOIV : International Journal on Informatics Visualization, vol. 6, no. 4, , pp. 763-770, Dec. 2022.
https://doi.org/10.30630/joiv.6.4.1013
How to cite (APA):
Abadi, A., & Tahcfulloh, S.
(2022).
Digital Image Processing for Height Measurement Application Based on Python OpenCV and Regression Analysis.
JOIV : International Journal on Informatics Visualization, 6(4), 763-770.
https://doi.org/10.30630/joiv.6.4.1013
How to cite (Chicago):
Abadi, Aji Bijaksana, AND Tahcfulloh, Syahfrizal.
"Digital Image Processing for Height Measurement Application Based on Python OpenCV and Regression Analysis" JOIV : International Journal on Informatics Visualization [Online], Volume 6 Number 4 (31 December 2022)
https://doi.org/10.30630/joiv.6.4.1013
How to cite (Vancouver):
Abadi A, & Tahcfulloh S .
Digital Image Processing for Height Measurement Application Based on Python OpenCV and Regression Analysis.
JOIV : International Journal on Informatics Visualization [Online]. 2022 Dec;
6(4):763-770.
https://doi.org/10.30630/joiv.6.4.1013
How to cite (Harvard):
Abadi, A., & Tahcfulloh, S.
,2022.
Digital Image Processing for Height Measurement Application Based on Python OpenCV and Regression Analysis.
JOIV : International Journal on Informatics Visualization, [Online] 6(4), pp. 763-770.
https://doi.org/10.30630/joiv.6.4.1013
How to cite (MLA8):
Abadi, Aji Bijaksana, & Syahfrizal Tahcfulloh.
"Digital Image Processing for Height Measurement Application Based on Python OpenCV and Regression Analysis." JOIV : International Journal on Informatics Visualization [Online], 6.4 (2022): 763-770. Web. 1 Apr. 2023
, https://doi.org/10.30630/joiv.6.4.1013
BibTex Citation Data :
@article{JOIV1013,
author = {Aji Bijaksana Abadi and Syahfrizal Tahcfulloh},
title = {Digital Image Processing for Height Measurement Application Based on Python OpenCV and Regression Analysis},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {6},
number = {4},
year = {2022},
keywords = {Camera; digital image processing; height; regression analysis},
abstract = {Pixel is the smallest element given by the image from a digital camera and is used as a data source in the digital image processing process. In this paper, two data collection processes are carried out, i.e. taking actual height data using a standard stature meter and taking sample photos using a camera placed from the sample with a distance of 160 cm and a height of 100 cm. The sample photos obtained are then processed for segmentation of the sample body against the surrounding environment using several digital image-processing techniques such as grayscale, blur, edge detection, and bounding box in order to obtain a pixel value that represents the height of the sample. The next stage is the regression analysis process by correlating actual height with pixel height using five regression equation analysis methods such as least squares, logarithmic powers, exponentials, quadratic polynomials, and cubic polynomials. This study analyzes the differences between these methods in terms of correlation coefficient, Root Mean Squared Error (RMSE), average error, and accuracy between height calculation data based on digital image processing and actual height measurement data. From the results obtained, the logarithmic power method produces the best analytical value compared to other methods with the correlation coefficient, RMSE, average error percentage, and percentage accuracy of 0.976, 1.3, 0.58%, and 99.42%, respectively. While the cubic polynomial is in the last position, the correlation coefficient, RMSE, average error percentage, and accuracy percentage are 0.978, 1.41, 0.64%, and 99.36%, respectively.},
issn = {2549-9904}, pages = {763--770}, doi = {10.30630/joiv.6.4.1013},
url = {https://joiv.org/index.php/joiv/article/view/1013}
}
Refworks Citation Data :
@article{{JOIV}{1013}, author = {Abadi, A., Tahcfulloh, S.}, title = {Digital Image Processing for Height Measurement Application Based on Python OpenCV and Regression Analysis}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {6}, number = {4}, year = {2022}, doi = {10.30630/joiv.6.4.1013}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.