APPLICATION OF TWO-DIMENSION WAVELET TRANSFORM IN IMAGE PROCESS OF PETS IN STORED GRAIN

摘要：

The detection method of pests in stored grain is always investigated. The method of based on image recognition is often discussed.The wavelet transform is the localization analysis of time and frequency, and it can multi-scale refine the signal by calculating of flex and transition. This paper presents a method of using the wavelet transform to detect the image of pests in stored grain edge based on the multi-scale analysis of the wavelet transform in the image processing field. The method acquires the information of the image edge by detecting the image local maxima of the two-dimension wavelet transform. The examples show that the method can obtain better edge detection.

关键词： Image of pests in stored grain Wavelet transform Edge detection

作者: LONG ZHOU XIAO-JUN TONG

作者单位: Electrical & Information Engineering Department, Wuhan Polytechnic University Wuhan, Hubei 430023, P.R.China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2790-2793

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）