Object Teaching Platform Based in Image Processing Techniques

• Main Authors: Ming-Kun Wu, 吳明昆
• Other Authors: 蔡哲民
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/73ynrm

碩士 === 崑山科技大學 === 資訊管理研究所 === 96 === Because of the rapid progress of computer techniques, images and videos and other multimedia information are incorporated into the object teaching. The object teaching system can benefit not only the in-class instruction but also after-school self-learning. Commonly, the database of the system is setup by the developers. It is difficult for the users to increase or setup the contents of the database. In this thesis, we propose a user-friendly object teaching system. Users can setup the database by providing the samples or images of the samples. The system will automatically select the best features and the most suitable classifier. We develop the system in Java and implement the system in both web-based platform and independent application system. Testing with 12 kinds of common seashells, our system can reach 93% recognition rate without any tuning. We hope this system can effectively support class-teaching and promote the students’ will of self-learning.