Multi-Object Classification of Sports Equipment Images with Texture and Line Features

Authors

  • hamada Zein Universitas Muhammadiyah Kalimantan Timur
  • Galih Priyambada Universitas Muhammadiyah Kalimantan Timur
  • Siti Puspita Hida Sakti MZ STMIK Syaikh Zainuddin NW Anjani

DOI:

https://doi.org/10.30646/sinus.v22i2.835

Keywords:

Sports Equipment, LBP, Hough, Classification, Textural Features

Abstract

mage recognition of sports equipment is often carried out for detection purposes, balls as sports equipment are detected in the form of round objects for various purposes such as goalkeeping robots, ball collection, or monitoring the position of the ball in a match. Classification of various types of sports balls with various shapes located in various areas in one image has not been widely done. This research aims to classify several sports balls, namely soccer balls, hockey balls and shuttlecocks in images with various backgrounds where the images used are images taken randomly from Google Images. Pre-processing in this research starts from changing the image size, changing the GRB image to gray and removing noise using a Gaussian filter. Feature extraction in this research uses two different methods, namely Hough to get line features and LBP (Local Binary Pattern) to get texture features. The feature extraction results were then classified using several classification algorithms with the highest results using Random Forest and LBP feature extraction, namely 70% and the lowest accuracy results using KNN with LBP feature extraction at 43%.

References

Asri, S. D., Ramayanti, D., Putra, A. D., & Utami, Y. T. (2022). Deteksi Roda Kendaraan Dengan Circle Hough Transform (CHT) Dan Support Vector Machine (SVM). Jurnal Teknoinfo, 16(2). https://doi.org/10.33365/jti.v16i2.1952

Ayuningsih, K., Sari, Y. A., & Adikara, P. P. (2019). Klasifikasi Citra Makanan Meggunakan HSV Color Moment dan LBP dengan Naïve Bayes Classifier. Jurnal Pengembangan Teknology Informasii Dan Ilmu Komputier (J-PTIIK) Universitas Brawijaya, 3(4).

Fadlil, A., Riadi, I., & Purwadi Putra, I. J. D. E. (2023). Comparison of Machine Learning Performance Using Naive Bayes and Random Forest Methods to Classify Batik Fabric Patterns. Revue d’Intelligence Artificielle, 37(2). https://doi.org/10.18280/ria.370214

H. Abd al karim, M., & A. Karim, A. (2021). Using Texture Feature in Fruit Classification. Engineering and Technology Journal, 39(1B). https://doi.org/10.30684/etj.v39i1b.1741

Hafidhoh, N. ul, & Sukmana, S. E. (2018). Deteksi Pemain Basket Terklasifikasi Berbasis Histogram of Oriented Gradients. Inform : Jurnal Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 3(1). https://doi.org/10.25139/inform.v3i1.635

Joshi, K., Tripathi, V., Bose, C., & Bhardwaj, C. (2020). Robust Sports Image Classification Using InceptionV3 and Neural Networks. Procedia Computer Science, 167. https://doi.org/10.1016/j.procs.2020.03.290

Kevin, K., Hendryli, J., & Herwindiati, D. E. (2019). Klasifikasi Kain Tenun Berdasarkan Tekstur & Warna Dengan Metode K-NN. Computatio : Journal of Computer Science and Information Systems, 3(2). https://doi.org/10.24912/computatio.v3i2.6028

Melo, A. G., Pinto, M. F., Marcato, A. L. M., Biundini, I. Z., & Rocha, N. M. S. (2021). Low-cost Trajectory-Based Ball Detection for Impact Indication and Recording. Journal of Control, Automation and Electrical Systems, 32(2). https://doi.org/10.1007/s40313-020-00677-7

Neneng, N., Puspaningrum, A. S., & Aldino, A. A. (2021). Perbandingan Hasil Klasifikasi Jenis Daging Menggunakan Ekstraksi Ciri Tekstur Gray Level Co-occurrence Matrices (GLCM) Dan Local Binary Pattern (LBP). SMATIKA JURNAL, 11(01). https://doi.org/10.32664/smatika.v11i01.572

Putra, R. M., & Puriyanto, R. D. (2022). Sistem Deteksi dan Pelacakan Bola dengan Metode Hough circle Transform Menggunakan Kamera Omnidirectional pada Robot Sepak Bola Beroda. Buletin Ilmiah Sarjana Teknik Elektro, 3(3). https://doi.org/10.12928/biste.v3i3.4786

Wang, D., & Shen, L. (2022). Research on Sports Training Action Image Recognition Based on SDN. In Journal of Mathematics (Vol. 2022). https://doi.org/10.1155/2022/3668647

Wibowo, B. C., Nugraha, F., & Utomo, A. P. (2021). Uji Deteksi Objek Bentuk Bola Dengan Menerapkan Metode Circular Hough Transform. Jurnal Informatika Upgris, 7(1). https://doi.org/10.26877/jiu.v7i1.8309

Downloads

Published

2024-07-17

How to Cite

Zein, hamada, Priyambada, G., & Hida Sakti MZ, S. P. (2024). Multi-Object Classification of Sports Equipment Images with Texture and Line Features. Jurnal Ilmiah SINUS, 22(2), 37–44. https://doi.org/10.30646/sinus.v22i2.835

Issue

Vol. 22 No. 2 (2024): Vol. 22 No. 2, Juli 2024

Section

Articles

License

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

 

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.