Title :
The smoothing noise methods based on self-adaptive filtering for crop leaf image
Author_Institution :
Shenyang Ligong Univ., Shenyang, China
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;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487124