Book ChapterDOI
Beltrami-Regularized Denoising Filter Based on Tree Seed Optimization Algorithm: An Ultrasound Image Application
V. Muneeswaran,M. Pallikonda Rajasekaran +1 more
- pp 449-457
TLDR
Evaluation of the proposed methodology with advanced evaluation metrics shows that the proposed method gives optimal speckle reduction score when compared with conventional filters and its superiority in despeckling medical ultrasound images.Abstract:
The dominant degrading factor of quality in ultrasound images is mainly due to the occurrence of speckle noise that in turn leads to false ameliorative decisions, restricts auto diagnosis and telemedicine practices. In medical image analysis speckle reduction is contemplated to be the pre-processing task that sustains decisive information and exclude speckle noise. Meta-heuristics optimization algorithm were used now a days for speckle reduction problems. Our contribution in this paper analyses the use of optimization technique in determining the best noise removing filter coefficients that removes the speckle content contributively. The proposed method comprises the use of Finite Impulse Response filter receiving the filter coefficients from Tree Seed optimization algorithm. Evaluation of noise removal with standard metrics such as Peak Signal to Noise Ratio, Correlation coefficient and Structural Similarity Index shows that the proposed method gives optimal speckle reduction score when compared with conventional filters and its superiority in despeckling medical ultrasound images. Assessment of the proposed methodology with advanced evaluation metrics ensures the ability of it in terms of preserving edges and textural features.read more
Citations
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Proceedings ArticleDOI
Programmed Multi-Classification of Brain Tumor Images Using Deep Neural Network
TL;DR: DL design based on a Convolution Neural Network (CNN) to identify various types of brain tumors leveraging two publicly accessible resources or databases is proposed.
Proceedings ArticleDOI
VLSI Implementation of Image Compression using TSA Optimized Discrete Wavelet Transform Techniques
TL;DR: In this paper, the VLSI implementation of HAAR wavelet-based image compression is proposed and designed and provides a hardware-free architecture with low cost.
Book ChapterDOI
An Exemplary Template Matching Techniques for Counterfeit Currency Detection
P. Nagaraj,V. Muneeswaran,K. Muthamil Sudar,Sk. Hammed,Desu Lakshmi Lokesh,V. Samara Simha Reddy +5 more
TL;DR: In this paper, a method for validating currency notes using image processing methods is proposed, the currency image is showed in the dissimilarity space and many kinds of pixel levels for detection of the fake currency.
Journal ArticleDOI
Training Feed-Forward Multi-Layer Perceptron Artificial Neural Networks with a Tree-Seed Algorithm
TL;DR: The experimental results show that TSA is the best in terms of mean classification rates and outperformed the opponents on 18 problems and the main disadvantage of BP is trapping into local minima.
References
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Journal ArticleDOI
Speckle analysis and smoothing of synthetic aperture radar images
TL;DR: This paper develops a statistical technique to define a noise model, and then successfully applies a local statistics noise filtering algorithm to a set of actual SEASAT SAR images, resulting in smoothed images that permit observers to resolve fine detail with an enhanced edge effect.
Journal ArticleDOI
Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery
Christos P. Loizou,Constantinos S. Pattichis,C.I. Christodoulou,Robert S. H. Istepanian,Marios Pantziaris,Andrew N. Nicolaides +5 more
TL;DR: A comparative evaluation of despeckle filtering based on texture analysis, image quality evaluation metrics, and visual evaluation by medical experts in the assessment of 440 ultrasound images of the carotid artery bifurcation suggests that the first order statistics filter lsmv, gave the best performance, followed by the geometric filter gf4d, and the homogeneous mask area filter l sminsc.
Journal ArticleDOI
A class of fast Gaussian binomial filters for speech and image processing
Richard A. Haddad,Ali N. Akansu +1 more
TL;DR: An efficient, in-place algorithm for the batch processing of linear data arrays and the binomial filter, suitable as front-end filters for a bank of quadrature mirror filters and for pyramid coding of images.
Journal ArticleDOI
TSA: Tree-seed algorithm for continuous optimization
TL;DR: Experimental results show that the proposed method named as TSA is better than the state-of-art methods in most cases on numeric function optimization and is an alternative optimization method for solving multilevel thresholding problem.