Adaptive anisotropic diffusion filter for speckle noise reduction for ultrasound images. (1st January 2013)

• Record Type: Journal Article
• Authors: Rahman, Mohammad Motiur; PK., Mithun Kumar; Aziz, Abdul; Arefin, Md. Gauhar; Uddin, Mohammad Shorif
• Is Part Of: International journal of convergence computing. Volume 1: Number 1(2013)
• Page Start: 50
• Page End: 59
• Publication Date: 2013-01-01
• Subjects: anisotropic diffusion -- adjacent pixels -- speckle noise -- gradient -- measurement matrices -- ultrasound image; Computer science -- Periodicals; 004.05
• Languages: English
• ISSNs: 2048-9129

Abstract

In image processing noise is possibly the most annoying problem. Ultrasound image has been used for effective diagnosis for its non-invasive, harmless, accurate and cost effectiveness. Unfortunately, ultrasound images are degraded by an intrinsic artefact called speckle. Eliminating such speckle noise is an important preprocessing task. For acquiring a better performance for denoising, an adaptive anisotropic diffusion technique for ultrasound images is presented in this paper. It is a new efficient method for denoising the image without blurring the frontiers between different regions. The proposed noise detection-oriented method is based on the differentiation of the diffusion in the direction of the gradient and the adjacent pixels of entire image. The performance of different metrics shows the proposed method exhibit better result to existing Perona-Malik anisotropic diffusion method.