Development of Image Processing to Visualize Car Dimensions Using Matlab Software

Authors

  • Miranda Julianti Universitas Islam Negeri Sumatera Utara
  • Ony Hizri Kaifa Purba Universitas Islam Negeri Sumatera Utara
  • Putri Aisyah Sephia Universitas Islam Negeri Sumatera Utara

Keywords:

image processing, segmentation, binary images, grayscale, visualization

Abstract

In an era of increasingly advanced technology, the development of image processing techniques has become important in various fields, including the automotive industry. One important aspect in the automotive industry is understanding and visualizing car dimensions with high accuracy. In this research, we propose the development of image processing techniques using MATLAB software to visualize car dimensions. The proposed method involves a series of image processing steps, including car object segmentation, binary image, and image editing. First, the car image is imported into MATLAB software and converted into a grayscale image. Next, segmentation of the car object is carried out using an appropriate threshold technique. Next, the feature extraction results are used to visualize the dimensions of the car. This visualization can be in the form of a 2D diagram that displays the dimensions of the car proportionally, or a 3D model that shows a three-dimensional view of the car. Through this visualization, users can easily see and understand the dimensions of the car without the need for complicated manual measurements.

References

A. R. Putri, "Image Processing Using Web Cams in Moving Vehicles on Highways," JIPI (Journal of Ilm. Research and Informal Learning, vol. 1, no. 01, pp. 1–6, 2016, doi : 10.29100/jipi.v1i01.18.

A. Krisna Putra and S. A. Widyanto, "DESIGN AND BUILDING OF URBAN CONCEPT PASSENGER TYPE CAR FRAME Starting from design concept Design planning Calculating the load that will be received by the frame Drawing design using Solidwork software Determining Constraints Determining Force Simulation with Solidwork Apaka," vol. 3, no. 1, pp. 23–29, 2015.

M. Arya et al., "Development of Image Processing Algorithms," J. BETA (Biosystems and Agricultural Technology), pp. 1–12, 2015.

R. Ekawita, E. Widiatmoko, and H. Nawir, "Measurement of Deformation of Rubber Materials Using Image Processing Methods," pp. 106–109, 2012.

M. Zen, "Comparison of Fractal Dimension Methods and Backpropagation Neural Networks in Fingerprint Identification Systems on Digital Images," Jitekh, vol. 7, no. 2, pp. 42–50, 2019.

K. Padmavathi and K. Thangadurai, “Implementation of RGB and grayscale images in plant leaves disease detection - Comparative study,” Indian J. Sci. Technol., vol. 9, no. 6, pp. 4–9, 2016, doi: 10.17485/ijst/2016/v9i6/77739.

O. N. Shpakov and G. V. Bogomolov, “Technogenic activity of man and local sources of environmental pollution,” Stud. Environ. Sci., vol. 17, no. C, pp. 329–332, 1981, doi: 10.1016/S0166-1116(08)71924-1.

A. S. R. Sinaga, "Implementation of Threshoding Techniques in Digital Image Segmentation," J. Mantik Penusa, vol. 1, no. 2, pp. 48–51, 2017.

Yovi Apridiansyah, Rozali Toyib, and Ardi Wijaya, "Otsu Method and Mathematical Morphology in Region Segmentation of Vehicle Number Plate Characters," J. Appl. Comput. Sci. Technol., vol. 3, no. 1, pp. 134–143, 2022, doi: 10.52158/jacost.v3i1.277.

H. Gao, W. C. Siu, and C. H. Hou, “Improved techniques for automatic image segmentation,” IEEE Trans. Circuits Syst. Video Technol., vol. 11, no. 12, pp. 1273–1280, 2001, doi: 10.1109/76.974681.

S. Jatmika and D. Purnamasari, "Design of an Apple Ripeness Detection Tool Using Image Processing Methods Based on Color Composition," J. Ilm. Technol. Inf. Asia, vol. 8, no. 1, pp. 51–58, 2014.

I. Setiawan, W. Dewanta, H. A. Nugroho, and H. Supriyono, "Image Processing Using the Thresholding Method with Matlab R2014A," J. Media Infotama, vol. 15, no. 2, 2019, doi: 10.37676/jmi.v15i2.868.

S. N. Endah, R. Kusumaningrum, and H. A. Wibawa, "Color Space to Detect Skin Image: The Procedure and Implications," Sci. J. Informatics, vol. 4, no. 2, pp. 143–149, 2017, doi: 10.15294/sji.v4i2.12013.

V. K. Bakti, D. Dairoh, and M. Huda, "Image Segmentation and Enhancement for Rice Dimension Measurement Process," J. INFOTEL - Inform. Telecomun. Electron., vol. 8, no. 1, p. 88, 2016, doi: 10.20895/infotel.v8i1.56.

S. Saifullah, "Comparative Analysis of He and Clahe in Image Enhancement in the Image Segmentation Process for Egg Fertility Detection," J. Nas. Educator. Tech. Inform., vol. 9, no. 1, p. 134, 2020, doi: 10.23887/janapati.v9i1.23013.

S. Saifullah, "Image Segmentation Using the Watershed Transform Method Based on Image Enhancement in Detecting Egg Embryos," Syst. Inf. Syst. Informatics J., vol. 5, no. 2, pp. 53–60, 2020, doi: 10.29080/systemic.v5i2.798.

U. B. Jaya, A. Fathoni, and U. B. Jaya, "Clothing Size Identification," vol. 5, no. 1, 2021.

K. Baytesh, R. G. Gematudinov, M. E. Chantieva, K. A. Dzhabrailov, and M. G. Gorodnichev, “Development of an automatic method for determining vehicle dimensions through computer vision,” J. Phys. Conf. Ser., vol. 1614, no. 1, 2020, doi: 10.1088/1742-6596/1614/1/012087.

L. Satrio Tegar and J. Utama, "Design and Build Information System for Four-Wheeled Parking Lots in Unikom Based on Image Processing. Designed Build Information System in Unikom Four-Wheeled Parking Lot based on Image Processing," Telekontran, vol. 4, no. 1, 2016.

L. P. Wardana, A. Munazid, and I. Baroroh, "Development of Image Processing to Visualize Ship Dimensions Using Matlab Software," pp. 38–45, 2019.

A. Arif et al., "Application of Neural Networks Using Methods," vol. 7, no. 2, pp. 156–167, 2022.

C. Saravanan, “Color image to grayscale image conversion,” 2010 2nd Int. Conf. Comput. Eng. Appl. ICCEA 2010, vol. 2, pp. 196–199, 2010, doi: 10.1109/ICCEA.2010.192.

T. Horiuchi, “Grayscale image segmentation using color space,” IEICE Trans. Inf. Syst., vol. E89-D, no. 3, pp. 1231–1237, 2006, doi: 10.1093/ietisy/e89-d.3.1231.

L. Zheng, Q. Pan, G. Li, and J. Liang, “Improvement of grayscale image segmentation based on PSO algorithm,” ICCIT 2009 - 4th Int. Conf. Comput. Sci. Converg. Inf. Technol., pp. 442–446, 2009, doi: 10.1109/ICCIT.2009.68.

D. S. E. A. Muhammad Kusumawan Herliansyah, "Optimization of the Process of Measuring Dimensions and Defects for Ceramic Tiles Using Digital Image Processing and Full Factorial Design," J. Teknosains, vol. 4, no. 2, pp. 179–191, 2015, doi: 10.22146/teknosains.7972.

L. P. Wardana, A. Munazid, and I. Baroroh, "Development of Image Processing to Visualize Ship Dimensions Using Matlab Software," pp. 38–45, 2019.

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Published

2023-07-31

How to Cite

Julianti, M., Purba, O. H. K. ., & Sephia, P. A. . (2023). Development of Image Processing to Visualize Car Dimensions Using Matlab Software. Bigint Computing Journal, 1(2), 85–95. Retrieved from https://journal.aira.or.id/index.php/bigint/article/view/782

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