Title :
Application of two-dimension wavelet transform in image process of pets in stored grain
Author :
Zhou, Long ; Tong, Xiao-jun
Author_Institution :
Electr.&Inf. Eng. Dept., Wuhan Polytech. Univ., Wuhan
Abstract :
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.
Keywords :
agricultural products; agrochemicals; edge detection; object detection; wavelet transforms; image local maxima detection; image processing; image recognition; multiscale analysis; stored grain edge detection; stored grain pest; two-dimensional wavelet transform; Acoustic noise; Fourier transforms; Frequency; Image analysis; Image edge detection; Insects; Positron emission tomography; Signal analysis; Wavelet analysis; Wavelet transforms; Edge detection; Image of pests in stored grain; Wavelet transform;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620882
