DocumentCode
518850
Title
The smoothing noise methods based on self-adaptive filtering for crop leaf image
Author
Xin, Long
Author_Institution
Shenyang Ligong Univ., Shenyang, China
Volume
3
fYear
2010
fDate
27-29 March 2010
Firstpage
543
Lastpage
546
Abstract
This paper choose self-adaptive filtering method to smooth noise for the crop leaf image. This method adjusts the output of filter according to the local variance of the image, and store the edge, high-frequency detail of crop leaf image. The experiment indicates that it´s very convenient to calculate the filter parameters, and filter the image, that is no better than linear filters with needing more computing time.
Keywords
crops; image denoising; noise; smoothing methods; crop leaf image; image local variance; self-adaptive filtering method; smoothing noise methods; Additive noise; Crops; Filtering; Image segmentation; Noise reduction; Nonlinear filters; Pixel; Shape; Smoothing methods; Visual effects; Crop leaf image; Self-adaptive filtering; Smooth noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-5845-5
Type
conf
DOI
10.1109/ICACC.2010.5487124
Filename
5487124
Link To Document