A Soybean Image Noise Smoothing Method Using Multi-scale Morphology

摘要：

A soybean image noise smoothing method using multi-scale morphology is presented in this paper. The method is based on manipulating the intensity of scale-specific features present in the noisy image. Features at various scales are extracted by means of morphological filtering. The proposed scheme has been implemented by using morphological towers to smooth noise in images. The algorithm has been tested on sample images corrupted with various kinds of noise. The results have been compared with those of other standard methods. It is found that the performance of the proposed method is satisfactory and superior to other methods referred in this paper.

关键词： Image Processing Noise Smoothing Multiscale Morphology

作者: Yuhua Chai Danting Zhao Rong Wang

作者单位: Colledge of Engineering Northeastern Agricultural University Beijing, China College of security & protection Chinese people’s public security university Beijing, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）