文章基本信息

标题：Performance Improvement of Leaf Contour Extraction in Complex Background for Leaf Recognition
本地全文：下载
作者：Kue-Bum Lee ; Xianghua Li ; Kwang-Seok Hong 等
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2012
卷号：7
期号：2
出版社：SERSC
摘要：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.
关键词：Intelligent Scissor (IS) algorithm; Leaf Contour Extraction; Edge Point; color gradient magnitude