title: [Three domains filtering for medical ultrasound images denoising].
abstract: A filtering algorithm is proposed to deal with the medical ultrasonic image series in video format, which uses the relativity in spatial domain, gray value domain and temporal domain simultaneously. For each frame image, the relativity in spatial domain and gray value domain is utilized to construct the adaptive neighborhood first. Then the spatial weighted and gray value weighted filtering is performed in this neighborhood. Finally, the temporal relativity between the adjacent frames is used to perform the temporal weighted filtering. All the weighted filtering in the three domains uses Gaussian kernel, thus the filtering sensitivity resulting from the threshold selection is reduced, and the stability of the algorithm is enhanced. As it can be seen from the experimental results, the three-domains filtering algorithm can suppress the noise effectively, and the edge details can be reserved well. So it is useful for the feature extraction, recognition and analysis.
authors.affiliation: Department of Electronic Engineering and Information Science, USTC, Hefei. hazhang@mail.ustc.edu.cn
authors.forename: Zhang
authors.initials: Z
authors.lastname: Ha
authors.forename: Lei
authors.initials: L
authors.lastname: Zhu
authors.forename: Chuan-fu
authors.initials: CF
authors.lastname: Li
authors.forename: Jin-ping
authors.initials: JP
authors.lastname: Wang
authors.forename: Kang-yuan
authors.initials: KY
authors.lastname: Zhou
mesh_terms: D000465:Algorithms; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D014463:Ultrasonography / Q000379:methods*