Speckle noise removal in ultrasound images is one of the important tasks in biomedical-imaging applications. Many filtering -based despeckling methods are discussed in many existing works. Two-dimensional (2-D) transforms are also used enormously for the reduction of speckle noise in ultrasound medical images. In recent years, many soft computing-based intelligent techniques have been applied to noise removal and segmentation techniques. However, there is a requirement to improve the accuracy of despeckling using hybrid approaches.

    Design/methodology/approach

    The work focuses on double-bank anatomy with framelet transform combined with Gaussian filter (GF) and also consists of a fuzzy kind of clustering approach for despeckling ultrasound medical images. The presented transform efficiently rejects the speckle noise based on the gray scale relative thresholding where the directional filter group (DFB) preserves the edge information.

    Findings

    The proposed approach is evaluated by different performance indicators such as the mean square error (MSE), peak signal to noise ratio (PSNR) speckle suppression index (SSI), mean structural similarity and the edge preservation index (EPI) accordingly. It is found that the proposed methodology is superior in terms of all the above performance indicators.

    Originality/value

    Fuzzy kind clustering methods have been proved to be better than the conventional threshold methods for noise dismissal. The algorithm gives a reconcilable development as compared to other modern speckle reduction procedures, as it preserves the geometric features even after the noise dismissal.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Framelet transform and fuzzy clustering-based intelligent technique for speckle noise removal in ultrasound images


    Additional title:

    Noise removal in ultrasound images


    Contributors:


    Publication date :

    2025-02-13


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    A Survey on Despeckling Filters for Speckle Noise Removal in Ultrasound Images

    Karthikeyan, S / Manikandan, T / Nandalal, V et al. | IEEE | 2019


    Spatially adaptive wavelet transform speckle noise-smoothing technique for SAR images [4471-31]

    Hawwar, Y. / Reza, A. / International Society for Optical Engineering | British Library Conference Proceedings | 2001


    Framelet-based random walk pan-sharpening method

    Wang, Jingkai / Yang, Xiaoyuan | British Library Online Contents | 2017


    Speckle-constrained filtering of ultrasound images

    Krissian, K. / Kikinis, R. / Westin, C.-F. et al. | IEEE | 2005


    Edge detection in ultrasound speckle noise

    Czerwinski, R.N. / Jones, D.L. / O'Brien, W.D. | IEEE | 1994