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

Volume

5

fYear

2008

fDate

12-15 July 2008

Firstpage

2790

Lastpage

2793

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMLC.2008.4620882

Filename

4620882