Aplikasi Pengekstrak Gambar Ke Excel dan Uji Ektraksi dengan Kirsch Untuk Deteksi Tepi


  • Yasir Hasan Universitas Budi Darma Medan
  • Hery Sunandar Universitas Budi Darma Medan


Excel, Edge_detection, Image processing, Kirsch, Python


Pixel extractor application to retrieve image pixel values and save them in Excel format. Matlab is often used for pixel extraction, but the transfer process to Excel is difficult and long if the image resolution is large. The placement of pixel values in Excel is useful for knowing the process of image processing mathematical formulas. The solution of this application is that the user can select images to be processed and the pixel extraction results are stored in three separate Excel sheets, namely red (R), green (G), blue (B), and Grayscale values. Convenience This is useful for analyzing pixel data for users. In this study, the extracted pixel values were tested using the Kirsch operator for edge detection. Doing a test of one Kirsch kernel on a grayscale sheet. This application is built using the Python programming language and the PySimpleGUI library to create an easy-to-use user interface.


Y. Colella, A. S. Valente, L. Rossano, T. A. Trunfio, A. Fiorillo, and G. Improta, “A Fuzzy Inference System for the Assessment of Indoor Air Quality in an Operating Room to Prevent Surgical Site Infection,” Int J Environ Res Public Health, vol. 19, no. 6, Mar. 2022, doi: 10.3390/ijerph19063533.

P. Chandana, M. Borkakoty, and A. Professor, “CONVERSION OF IMAGE TO EXCEL USING OCR TECHNIQUE,” 2022, www.irjmets.com

C. WANG, Y. LI, and Y. QI, “Comparison Research of Capability of Several Edge Detection Operators,” 2015. doi: 10.2991/itms-15.2015.188.

A. L. S. Saabith, T. Vinothraj, and M. Fareez, “POPULAR PYTHON LIBRARIES AND THEIR APPLICATION DOMAINS,” International Journal of Advance Engineering and Research Development, vol. 7, no. 11, 2020

S. Mukherjee and A. Singh Poonia, “MATLAB Based Vehicle Number Plate Recognition,” International Journal for Research in Applied Science & Engineering Technology (IJRASET) , vol. 3, no. 2, pp. 25–39, 2015

J. FathimsonJ, Bibis.S, Aswanth.R, and Gayatri S, “Underwater Image Restoration Using UICCS Method in Matlab,” 2018

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, 2016, doi: 10.17485/ijst/2016/v9i6/77739.

J. Wang and S. Lee, “Data augmentation methods applying grayscale images for convolutional neural networks in machine vision,” Applied Sciences (Switzerland), vol. 11, no. 15, Aug. 2021, doi: 10.3390/app11156721.



How to Cite

Hasan, Y., & Sunandar, H. . (2023). Aplikasi Pengekstrak Gambar Ke Excel dan Uji Ektraksi dengan Kirsch Untuk Deteksi Tepi. MEANS (Media Informasi Analisa Dan Sistem), 8(1), 94–99. Retrieved from https://ejournal.ust.ac.id/index.php/Jurnal_Means/article/view/2608



Daftar Artikel