외곽선 검출을 이용한 식물자동인식 분류 알고리즘

• 영문명: The Categorization Algorithms Using Edge Detection for Plant Recognition System
• 발행기관: 인간식물환경학회
• 저자명: 이주헌(Juheon Lee) 박시몽(Simong Park) 김보미(Bomi Kim) 이종민(Jongmin Lee) 김민정(Minjung Kim) 이애경(Aekyung Lee)
• 간행물 정보: 『인간식물환경학회지(JPPE)』제17권 제5호, 411~418쪽, 전체 8쪽
• 주제분류: 자연과학 > 자연과학일반
• 파일형태: PDF
• 발행일자: 2014.10.30

영문 초록

As smart phones are becoming new means of gathering and sharing information, the demands for the smart phone ‘apps’ providing plant information and data are also increasing. This study is to provide the algorithms to identify plants using their leaves and is also to feature the digitized leaf data to be stored in the database to be used for plant identification applications. Outline ‘edge’ data of the leaf are extracted by using SP Sweeping algorithm, and the plant species are categorized and identified by applying six algorithms: H/W ratio, top-tip ratio, bottom-tip ratio, gradient of edge points, distance between edge point and the center, and second degree polynomial approximation algorithms. Thirty two species have been selected and used to validate the algorithms. H/W ratio and top-tip ratio have been found to be very effective algorithms to distinguish many species. Moreover, gradient and distance methods have shown the recognizable differences between species, and Bhattacharyya distances have been found to be a great data to be stored as a part of analysis data for run-time comparison by application. Additionally, this study also has confirmed the feasibility of additional identification categories using the features of petiole and tip as well as characteristics of the leaf margin.

목차

Abstract

Ⅰ. 서론

Ⅱ. 연구방법

Ⅲ. 결과 및 고찰

Ⅳ. 적요

Ⅴ. References

키워드

Application S/W Leaf classification Plant recognition Smart-phone Vision machine