Earticle

초록

영어

In this system we improved the performance of an automatic system for extracting leaf contour. The proposed leaf contour extraction method consists of three major procedures: the detection of four edge points, and contour tracing. Leaf detection includes two stages: feature extraction and matching. For the leaf contour extraction part, we present a new technique for automatically identifying the contour of a leaf in an image. For contour tracing, an Intelligent Scissor (IS) algorithm is applied. The color gradient magnitude and Canny edge detection are analyzed and included as the cost terms of the Intelligent Scissor algorithm. The color gradient magnitude cost term is implemented so that it can act directly on the three components of the color image. For the third procedure, we implement of the performance improvement. The main idea about proposed method is when the program detected the incorrect four edge points, we using the mouse and clicked the right position instead of the incorrect one.

목차

Abstract
 1. Introduction
 2. Leaf Area Extraction
  2.1. Leaf Contour Extraction
  2.2. The Incorrect Detected Edge Points Clicked by Mouse
 3. Experiments and Results
 4. Conclusions
 Acknowledgements
 References

키워드

저자

• Kue-Bum Lee [ School of Information and Communication Enginering, Sungkyunkwan University ]
• Xianghua Li [ School of Information and Communication Enginering, Sungkyunkwan University ]
• Kwang-Seok Hong [ School of Information and Communication Enginering, Sungkyunkwan University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605