TY - GEN
T1 - Ball Detection Based on Color and Shape Features Captured by Omni-Directional Camera
AU - Hikmahwan, Bagus
AU - Hario, Fakhriy
AU - Mudjirahardjo, Panca
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The ability to detect the ball on a soccer robot is the key to victory in a match. However, in reality, there are several things that can become a distraction in the detection process. These include the color and shape of the ball which often change. This study aims to create a system that can detect balls based on the color and shape of the ball by comparing the level of accuracy and computation time process. The research process was carried out by capturing real-time video on an Omni-Directional camera and through image processing, including image segmentation by taking HSV colors at a certain range, noise image restoration, feature extraction using contours with optimal roundness, and analysis of detection results. From the application of this method to video images of random balls, an accuracy value of 90,61 percent is obtained. This is obtained with an average computing time of 0,025 seconds.
AB - The ability to detect the ball on a soccer robot is the key to victory in a match. However, in reality, there are several things that can become a distraction in the detection process. These include the color and shape of the ball which often change. This study aims to create a system that can detect balls based on the color and shape of the ball by comparing the level of accuracy and computation time process. The research process was carried out by capturing real-time video on an Omni-Directional camera and through image processing, including image segmentation by taking HSV colors at a certain range, noise image restoration, feature extraction using contours with optimal roundness, and analysis of detection results. From the application of this method to video images of random balls, an accuracy value of 90,61 percent is obtained. This is obtained with an average computing time of 0,025 seconds.
KW - Contour detection
KW - HSV Filtering
KW - Omni-Directional Camera
KW - Optimal roundness
KW - Shape detection
UR - https://www.scopus.com/pages/publications/85171154090
U2 - 10.1109/ISITIA59021.2023.10221097
DO - 10.1109/ISITIA59021.2023.10221097
M3 - Conference contribution
AN - SCOPUS:85171154090
T3 - 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
SP - 87
EP - 92
BT - 2023 International Seminar on Intelligent Technology and Its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Y2 - 26 July 2023 through 27 July 2023
ER -