A Soybean Image Noise Smoothing Method Using Multi-scale Morphology

被引：0
|
作者：
Chai, Yuhua [1 ]
Zhao, Danting [1 ]
Wang, Rong [2 ]
机构：
[1] Northeast Agr Univ, Coll Engn, Beijing, Peoples R China
[2] Chinese Peoples Publ Secur Univ, Coll Secur & Protect, Beijing, Peoples R China
来源：
HIS 2009: 2009 NINTH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS, VOL 3, PROCEEDINGS | 2009年
关键词：
Image Processing; Noise Smoothing; Multiscale Morphology;
D O I：
10.1109/HIS.2009.302
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码：437 / +
页数：2
相关论文
共 50 条
  • [1] A noise smoothing method using multi-scale morphology
    Chai, Y. H.
    Wang, R.
    Gao, L. Q.
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 699 - 703
  • [2] Noise image edge detection by synthetic weighted multi-scale morphology
    Zhao, Y. Q.
    Gui, W. H.
    Chen, Z. C.
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 1616 - 1621
  • [3] Image segmentation using iterated graph cuts based on multi-scale smoothing
    Nagahashi, Tomoyuki
    Fujiyoshi, Hironobu
    Kanade, Takeo
    COMPUTER VISION - ACCV 2007, PT II, PROCEEDINGS, 2007, 4844 : 806 - +
  • [4] Multi-scale image segmentation based on morphology
    Wang, XP
    Hao, CY
    Fan, YY
    Xi, YL
    CHINESE JOURNAL OF ELECTRONICS, 2005, 14 (01): : 119 - 121
  • [5] Image Segmentation via GrabCut and Linear Multi-Scale Smoothing
    Lai, Yi
    Chen, Chaohao
    He, Kun
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION PROCESSING (ICCIP 2017), 2017, : 474 - 478
  • [6] Morphological multi-scale approach for image noise removing
    College of Information and Electronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
    Jisuanji Gongcheng, 2006, 4 (208-210):
  • [7] Wavelet-based Multi-scale Variation Image Noise Removal Model and The Image Geometry-adapted Method For Multi-scale Parameters Determining
    Song, Jin-ping
    Luo, Shou-sheng
    Yang, Xiao-yi
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 868 - +
  • [8] IMAGE CLASSIFICATION METHOD WITH MULTI-SCALE FEATURES
    Lu, Peng
    Zou, Peiqi
    Zou, Guoliang
    Zheng, Zongsheng
    Zou, Peiqi
    JOURNAL OF NONLINEAR AND CONVEX ANALYSIS, 2019, 20 (06) : 1183 - 1191
  • [9] The Algorithm of SAR Speckle Noise Suppressing by Using Generalized Multi-scale CB Morphology
    Kang, Jie
    Yang, Gang
    2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 1106 - +
  • [10] Multi-scale Diffusion Denoised Smoothing
    Jeong, Jongheon
    Shin, Jinwoo
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
12345