APPLICATION OF QUASI-WAVELET MULTI-SCALE EDGE DETECTION METHOD FOR CORN HYBRID VARIETY IDENTIFICATION
Electrophoretic method was a new kind of identification method developed in recent years. In this paper, a computer vision system was developed for corn hybrid variety identification by corn seed electrophoretogram processing and analysis. The method of quasi-wavelet multi-scale edge detection based on Gaussian filter and vector differential operator was used to extract features of characteristic bands. Based on the proposed method, a set of applied software was developed for corn hybrid variety identification. It was tested with 6 kinds of corn hybrid, the results demonstrated that the edge detection method was effectual and rapid.
Variety Identification Computer Vision Quasi-Wavelet Multi-Scale Edge Detection
Tao Yang Lidi Wang Youwen Tian
College of Information & Electrical Engineering, Shenyang Agriculture University, Shenyang, 110161, China
国际会议
北京
英文
325-327
2005-10-14（万方平台首次上网日期，不代表论文的发表时间）