Performance Improvement of Leaf Contour Extraction in Complex Background for Leaf Recognition

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.