There have been exciting advancements in the fields of computer vision with the development of data analysis techniques and computational efficiency. In this project, we have built a user-friendly image processing tools using the tkinter libraries in Python by defining functions for each computer vision method and implementing pre-processing, filtering, feature extraction, and clustering on images collected from various fields such as environmental sciences, medical sciences, and mobilities. We have sought to assess the utility of automated image processing software to improve image classifiers even by nonprofessionals with no coding and no machine learning expertise. Thus, this program can be easily utilized by researchers without programming experience. This program can be used for various purposes by scholars in various fields such as education, environmental sciences and medicine.
저자
Sangjin Kim [ Department of Big Data Science, College of Public Policy, Korea University, Sejong ]
Donghyeok Choi [ Department of Big Data Science, College of Public Policy, Korea University, Sejong ]
Jai Woo Lee [ Department of Big Data Science, College of Public Policy, Korea University, Sejong ]
