Reduction of Speckle Noise and Image Enhancement in Ultrasound Image Using Filtering Technique and Edge Detection

Abstract

Ultrasound (US) imaging application in medicine and other fields is enormous. It has several advantages over other medical imaging modalities. The use of US in diagnosis is well established because of its noninvasive nature, portable, accurate, low-cost imaging modality, capable of forming real-time imaging and continuing improvement in image quality. Medical images and satellite images are usually degraded by noise during image acquisition and transmission process. It is estimated that 1 out of every form medical diagnostic image studies in the world involves ultrasonic techniques. The objectives of this article are to give an overview of the types of speckle reduction techniques in US imaging, present a new technique of speckle reduction, and carry out a comparative evaluation of despeckle filtering based on image quality metrics. A new speckle suppression method and coherence enhancement of medical US image are proposed: 9 despeckled filtering techniques and 5 edge detection operators, with the result evaluated by image quality metrics. The best edge detection hybrid with best filter, quality evaluation metrics has been found that the proposed method performance better than all other methods, while the structural details and result preserving of small and important image feature that contain diagnostic information in a better way than other despeckling filter.

The Application of Ultrasound Image in Cancer Diagnosis

“…Functional study of changes in ultrasound images or Doppler ultrasound spectrum produced by the physiological characteristics of certain organs and tissues: echocardiography and Doppler ultrasound can be used to detect double power systolic and diastolic function, blood flow and blood flow measurement, gallbladder swelling and gastric function discharge, respiratory diaphragm activity, and so on [ 12 ]. Doppler ultrasound can be divided into pulse Doppler, continuous Doppler, high pulse repetition rate Doppler, multipoint gated Doppler, and color Doppler flow imaging.…”

An Ultrasound Image Enhancement Method Using Neutrosophic Similarity Score

“…Mustafa et al carried out a comparative study on nine speckle reducing filters and five edge detection operators. 24 Authors found best results with linear neighborhood averaging and sobel edge detection. 24 It was observed that indeterminacy information in ultrasound images often gets overlooked in the traditional de-speckling methods.…”

“…24 Authors found best results with linear neighborhood averaging and sobel edge detection. 24 It was observed that indeterminacy information in ultrasound images often gets overlooked in the traditional de-speckling methods. This problem is mostly solved by using, fuzzy sets.…”

“…Sobel operator24 because of its simplicity and high speed. E min and E max are minimum and maximum edge values, respectively.…”

Edge feature enhancement approach using hilbert transform of Cauchy distribution and its applications

“…Edges are important features in images and provide prominent information about objects in the natural scenes, while edge strength is essential to computer vision, image processing, and pattern recognition, especially directly edge detection, contour detection, and image segmentation. Its applications benefit many fields, including image segmentation [1][2][3], object recognition [4], remote sensing [5,6], medical imaging [7][8][9], 3D reconstruction [10], face recognition [11,12], and image retrieval [11,13]. In the past several decades, various edge feature enhancement approaches have been proposed, including gradient-based methods [14][15][16], morphology gradient methods [17,18], logicbased methods [19], machine learning methods [2,20,21], local energy [22,23], and phase congruency [24,25].…”