title: [Curvelet denoising algorithm for medical ultrasound image based on adaptive threshold].
abstract: The traditional denoising algorithm for ultrasound images would lost a lot of details and weak edge information when suppressing speckle noise. A new denoising algorithm of adaptive threshold based on curvelet transform is proposed in this paper. The algorithm utilizes differences of coefficients' local variance between texture and smooth region in each layer of ultrasound image to define fuzzy regions and membership functions. In the end, using the adaptive threshold that determine by the membership function to denoise the ultrasound image. The experimental text shows that the algorithm can reduce the speckle noise effectively and retain the detail information of original image at the same time, thus it can greatly enhance the performance of B ultrasound instrument.
authors.forename: Zhemin
authors.initials: Z
authors.lastname: Zhuang
authors.forename: Weike
authors.initials: W
authors.lastname: Yao
authors.forename: Jinyao
authors.initials: J
authors.lastname: Yang
authors.forename: FenLan
authors.initials: F
authors.lastname: Li
authors.forename: Ye
authors.initials: Y
authors.lastname: Yuan
mesh_terms: D000465:Algorithms; D003952:Diagnostic Imaging; D007091:Image Processing, Computer-Assisted; D014465:Ultrasonics