山西农业大学学报（自然科学版）2017，Vol.37Issue(9)：670-673,678,5.
基于视觉滤波算子的农业图像去噪研究
Agricultural image denoising research based on visual filter operator
摘要
Abstract
[Objective]Agricultural images exist noise unavoidablyand noise can interfere with the identification of useful targets.In order to extract the useful information in agricultural images accurately and expand the application of image processing technology in agricultural engineering, it is necessary to remove the noise in agricultural images.[Methods]In this paper, the algorithm studied was to combine an improved median filter with the visual filter operator LOG for denoising agricultural images.Firstly, the image was divided into edge image and non-edge image by LOG operator.Then, an improved weighted median filter was used to deal with the non-edge image.Finally, the edge image was combined with the processed non-edge image as the final denoising image.[Result]Apply this algorithm to the agricultural images to test the performance of the filtering algorithm, compared with the traditional median filter algorithm, and use the peak signal to noise ratio as the objectivity evaluation, the proposed algorithm''s peak signal-to-noise ratio was 8.15%,Was higher than the traditional median filtering algorithm, and had better noise reduction effect.[Conclusion]The algorithm of thismethod was better than the traditional median filtering algorithm, and could remove the noise generated by many factors in agricultural image effectively.关键词
农业图像/LOG/滤波/去噪Key words
Agricultural Images/LOG/Filter/Denoising分类
信息技术与安全科学引用本文复制引用
李旭茹,李富忠,韩冬,徐晓宇..基于视觉滤波算子的农业图像去噪研究[J].山西农业大学学报（自然科学版）,2017,37(9):670-673,678,5.基金项目
国家自然科学基金(61503231) （61503231）
山西农业大学科技创新基金(2016009) （2016009）
