A Plant Recognition System for iOS Devices - A Case Study for the First Tech Campus

• Main Authors: Yu-Ting Tung, 董昱廷
• Other Authors: Ching-Yung Chen
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/b3qm7z

碩士 === 國立高雄第一科技大學 === 電腦與通訊工程研究所 === 103 === With the progress of time, applications on smart personal mobile devices（such as smart phones or tablet）have been more and more popular. Many educational courses adopt applications such as: smart eBook App（automatically make classroom progress record ）and interactive exploration App（ by simply taking a photo get relevant information of an insect or animal）. Such App make the traditional paper education digitized, so everyone seems to have bit professional teachers accompany the side. The purpose of this paper is to develop a plant identification system for campuses by implementing an iOS App on smart phone devices. This research focuses on two - dimensional image processing based algorithm design classify the leaves by processing the images of the leaves and then report the top three potential leaves along with their relevant information. To be implemented on the smartphone, this paper proposes a low - complexity way to identify leaves basing on leaf contour, take the features as convex hull, the minimum circumscribed circle area and up / down angle of the tip to classify leaves. The proposed plant identification system can be utilized the ecological park, botanical gardens and national parks for ecological teaching and learning.