A Novel Hybrid Filter for Image Despeckling Based On Improved Adaptive Wiener Filter, Bilateral Filter and Wavelet Filter

2021 ◽  
pp. 2150036
Author(s):  
Hadi Salehi ◽  
Javad Vahidi
Keyword(s):  
Wiener Filter ◽  
Bilateral Filter ◽  
Intrinsic Noise ◽  
Fuzzy Classification ◽  
Second Phase ◽  
Ultrasound Images ◽  
Wavelet Filter ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Three Phases

Images are widely used in engineering. But, some images such as medical ultrasound images are mainly degraded by an intrinsic noise called speckle. Therefore, de-speckling is a main pre-processing stage for degraded images. In this paper, we suggest three phases and three denoising filters. In the first phase, the coefficient of variation is computed from the noisy image. Next, fuzzy c-means (FCM) is applied to the coefficients of variation. Applying FCM leads to the fuzzy classification of image regions. Next, the second phase is a hybrid of the three denoising filters. Fast bilateral filter (BF) for homogeneous regions, improved the adaptive wiener filters (AWFs) and wavelet filter that are applied on homogeneous, detail and edge regions, respectively. The proposed improved AWF has been developed from the AWF. In the third phase, the output image is evaluated by the fuzzy logic approach. Thus, with three phases, the proposed method has a better image detail preservation compared to some other standard methods. The experimental outcomes show that the proposed denoising algorithm is able to preserve image details and edges compared with other de-speckling methods.

An Ultrasound Image Despeckling Method Based on Weighted Adaptive Bilateral Filter

2020 ◽  
Vol 20 (03) ◽  
pp. 2050020
Author(s):  
Hadi Salehi ◽  
Javad Vahidi
Keyword(s):  
Ultrasound Image ◽  
Bilateral Filter ◽  
Intrinsic Noise ◽  
Second Phase ◽  
Ultrasound Images ◽  
Third Phase ◽  
Coefficients Of Variation ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Homogeneous Regions

Images are widely used in engineering. Unfortunately, ultrasound images are mainly degraded by an intrinsic noise called speckle. Therefore, de-speckling is a critical preprocessing step. Therefore, a robust despeckling method and accurate evaluation of images are suggested. We suggest three phases and a three-step denoising filter. In the first phase, the coefficients of variation are computed from the noisy image. The second phase is a three-step denoising filter. The first step is denoising of extreme levels of homogeneous regions, based on fuzzy homogeneous regions. The second step is a proposed adaptive bilateral filter (ABF). The ABF helps for better denoising based on the three regions which are edge, detail and homogeneous regions. The next step, a weight, is applied to the ABF. This step is for isolated noise denoising. Next, in the third phase, the output image is evaluated by the fuzzy logic approach. The proposed method is compared with other filters in the literature. The experimental outcomes show that the proposed method has better performance than the other filters. That proposed denoising algorithm is able to preserve image details and edges when compared with other denoising methods.

Image De-Speckling Based on the Coefficient of Variation, Improved Guided Filter, and Fast Bilateral Filter

2021 ◽  
pp. 2250036
Author(s):  
Hadi Salehi
Keyword(s):  
Coefficient Of Variation ◽  
Wiener Filter ◽  
Bilateral Filter ◽  
Intrinsic Noise ◽  
Input Image ◽  
Guided Filter ◽  
Ultrasound Images ◽  
Sar Images ◽  
Degraded Images ◽  
Image Detail

Images are widely used in engineering. Unfortunately, medical ultrasound images and synthetic aperture radar (SAR) images are mainly degraded by an intrinsic noise called speckle. Therefore, de-speckling is a main pre-processing stage for degraded images. In this paper, first, an optimized adaptive Wiener filter (OAWF) is proposed. OAWF can be applied to the input image without the need for logarithmic transform. In addition its performance is improved. Next, the coefficient of variation (CV) is computed from the input image. With the help of CV, the guided filter converts to an improved guided filter (IGF). Next, the improved guided filter is applied on the image. Subsequently, the fast bilateral filter is applied on the image. The proposed filter has a better image detail preservation compared to some other standard methods. The experimental outcomes show that the proposed denoising algorithm is able to preserve image details and edges compared with other de-speckling methods.

scholarly journals Denoising of Medical Ultrasound Images using Wavelet Transform with Bilateral Filter

2019 ◽  
Vol 8 (4) ◽  
pp. 8113-8116
Keyword(s):  
Wavelet Transform ◽  
Bilateral Filter ◽  
Intrinsic Noise ◽  
Speckle Noise ◽  
Computer Assisted ◽  
Ultrasound Images ◽  
Medical Ultrasound ◽  
Edge Preservation ◽  
Neighborhood Relationship ◽  
Speckle Filtering

Medical image degradation contains a significant impact on image quality and therefore affects the human interpretation and also the accuracy of computer assisted diagnostics techniques, unfortunately ultrasound images are principally degraded by an intrinsic noise known as speckle noise. Therefore, de- speckle filtering may be pre-processing step in medical ultrasound images. During this paper we propose a new image de-noising technique is the combination of bilateral filter and wavelet transform. The main contribution of this paper is within the use of a new neighborhood relationship to develop a new multi-scale bilateral filter. Experimental outcomes validate the usefulness and also the correctness of the proposed filter in edge preservation and speckle noise reduction for medical ultrasound images.

A Fuzzy Logic Approach for the Assessment of Online Customers

2012 ◽  
pp. 252-270
Author(s):  
Nicolas Werro ◽  
Henrik Stormer
Keyword(s):  
Fuzzy Logic ◽  
Global Economy ◽  
Relational Databases ◽  
Customer Relationships ◽  
Customer Equity ◽  
Fuzzy Classification ◽  
Loyalty Programs ◽  
Fuzzy Logic Approach ◽  
Logic Approach

A key challenge for companies in the e-business era is to manage customer relationships as an asset. In today’s global economy this task is becoming simultaneously more difficult and more important. In order to retain the potentially good customers and to improve their buying attitude, this chapter proposes a hierarchical fuzzy classification of online customers. A fuzzy classification, which is a combination of relational databases and fuzzy logic, allows customers to be classified into several classes at the same time and can therefore precisely determine the customers’ value for an enterprise. This approach allows companies to improve the customer equity, to launch loyalty programs, to automate mass customization, and to refine marketing campaigns in order to maximize the customers’ value and, this way, the companies’ profit.

Web Analytics with Fuzziness

2012 ◽  
pp. 193-215
Author(s):  
Darius Zumstein
Keyword(s):  
Fuzzy Classification ◽  
Web Pages ◽  
Computing With Words ◽  
Web Analytics ◽  
Web Content ◽  
Web Data ◽  
Internet Economy ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Web Metrics

In the Internet economy and information society, it has become an essential task of electronic business to analyze, to monitor, and to optimize websites and Web offers. Therefore, this chapter addresses the issues of Web analytics, which is defined as the measurement, collection, analysis, and reporting of Internet data for the purposes of understanding and optimizing website usage. After a short introduction, the second section defines Web analytics, describes benefits and problems of Web analytics, as well as different software architectures and products. Third, a controlling loop is proposed for Web content and Web user controlling in order to analyze Key Performance Indicators (KPIs) and to take website- and e-business-related actions. Fourth, different Web metrics and KPIs of information, transaction and communication are defined. Fifth, a fuzzy Web analytics approach is proposed, which makes it possible to classify Web metrics precisely into more than one class at the same time. Considering real Web data of the Web metrics page views and bounce rate, it is shown that fuzzy classification allows exact and flexible segmentation of Web pages or other objects and gradual rankings within fuzzy sets. In addition, the fuzzy logic approach enables Computing with Words (CWW), i.e. the perception-based, linguistic consideration of Web data and Web metrics instead of measurement-based, numerical ones. Web usage mining with inductive fuzzy classification and Web Analytics with Words (WAW) allows intuitive, human-oriented analyses, description, and reporting of Web metrics values in natural language.

scholarly journals Tree state category identification for boreal area conifers using global features estimation by fuzzy logic approach

2019 ◽  
pp. 211-215
Author(s):  
A S Pyataev ◽  
A Y Redkin ◽  
A V Pyataeva
Keyword(s):  
Fuzzy Logic ◽  
Piecewise Linear ◽  
Fuzzy Classification ◽  
Characteristic Functions ◽  
Health State ◽  
Global Features ◽  
Determination Process ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
The Cost

Tree state category identification allows forecasting forest development in the surveyed area. Tree state category determination process based on global features is subjective and uses concepts such as the degree of density of the crown, the degree of drying of branches, the fall of the bark, the color of the needles, etc. For global features estimation, fuzzy logic is used. To formalize these subjective concepts, linguistic variables and their terms were extracted. The characteristic functions describing the terms were piecewise linear and in this work were approximated by Gaussian functions. Such an approach in conjunction with image processing algorithms that allows to search objects on images or correct images obtained for example from unmanned aerial vehicles could be the basis of a system for automatically determining the forest plantations health state and improve the inspection quality. The study was conducted for coniferous species of the boreal zone. The mathematical model built in this work allows reducing the cost of automation of calculations related to the processing of the data obtained by forest pathological surveys, despite the fact that the accuracy value of fuzzy classification after the approximation of the membership functions remained at the same level.

A Fuzzy Logic Approach for the Assessment of Online Customers

E-Marketing ◽  
2012 ◽  
pp. 350-367
Author(s):  
Nicolas Werro ◽  
Henrik Stormer
Keyword(s):  
Fuzzy Logic ◽  
Global Economy ◽  
Relational Databases ◽  
Customer Relationships ◽  
Customer Equity ◽  
Fuzzy Classification ◽  
Loyalty Programs ◽  
Fuzzy Logic Approach ◽  
Logic Approach

A key challenge for companies in the e-business era is to manage customer relationships as an asset. In today’s global economy this task is becoming simultaneously more difficult and more important. In order to retain the potentially good customers and to improve their buying attitude, this chapter proposes a hierarchical fuzzy classification of online customers. A fuzzy classification, which is a combination of relational databases and fuzzy logic, allows customers to be classified into several classes at the same time and can therefore precisely determine the customers’ value for an enterprise. This approach allows companies to improve the customer equity, to launch loyalty programs, to automate mass customization, and to refine marketing campaigns in order to maximize the customers’ value and, this way, the companies’ profit.

Listening for the “Still Small Voice” of Mendelssohn’s Domestic Elijah

2015 ◽  
Vol 32 (1) ◽  
pp. 40-77
Author(s):  
Peter Mercer-Taylor
Keyword(s):  
Second Phase ◽  
Divine Presence ◽  
Final Phase ◽  
Public And Private ◽  
The Public ◽  
The Third ◽  
Interpretive Approach ◽  
Will To Live ◽  
Three Phases

The notion that there might be autobiographical, or personally confessional, registers at work in Mendelssohn’s 1846 Elijah has long been established, with three interpretive approaches prevailing: the first, famously advanced by Prince Albert, compares Mendelssohn’s own artistic achievements with Elijah’s prophetic ones; the second, in Eric Werner’s dramatic formulation, discerns in the aria “It is enough” a confession of Mendelssohn’s own “weakening will to live”; the third portrays Elijah as a testimonial on Mendelssohn’s relationship to the Judaism of his birth and/or to the Christianity of his youth and adulthood. This article explores a fourth, essentially untested, interpretive approach: the possibility that Mendelssohn crafts from Elijah’s story a heartfelt affirmation of domesticity, an expression of his growing fascination with retiring to a quiet existence in the bosom of his family. The argument unfolds in three phases. In the first, the focus is on that climactic passage in Elijah’s Second Part in which God is revealed to the prophet in the “still small voice.” The turn from divine absence to divine presence is articulated through two clear and powerful recollections of music that Elijah had sung in the oratorio’s First Part, a move that has the potential to reconfigure our evaluation of his role in the public and private spheres in those earlier passages. The second phase turns to Elijah’s own brief sojourn into the domestic realm, the widow’s scene, paying particular attention to the motivations that may have underlain the substantial revisions to the scene that took place between the Birmingham premiere and the London premiere the following year. The final phase explores the possibility that the widow and her son, the “surrogate family” in the oratorio, do not disappear after the widow’s scene, but linger on as “para-characters” with crucial roles in the unfolding drama.

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