This paper describes the optical setup and imageprocessing required to estimate melt-pool width and build height for real-time control of melt-pool geometry in directed energy deposition additive manufacturing. To ov...
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The proceedings contain 41 papers. The special focus in this conference is on imageprocessing and Signal processing. The topics include: A statistical dominance algorithm for edge detection and segmentation of medica...
ISBN:
(纸本)9783319397955
The proceedings contain 41 papers. The special focus in this conference is on imageprocessing and Signal processing. The topics include: A statistical dominance algorithm for edge detection and segmentation of medical images;swarm intelligence approach to 3D medical image segmentation;directional characteristics of mammographic spicules in the complex wavelet domain;discrimination of wheat grain varieties using x-ray images;face localization algorithms as element of silhouette localization process;imaging of the anterior eye segment in the evaluation of corneal dynamics;biopsy needle and tissue deformations detection in elastography supported ultrasound;modification of the ICP algorithm for detection of the occlusal area of dental arches;the fast matching algorithm for rectified stereo images;simple atlas selection strategies for liver segmentation in CT images;automatic 3D segmentation of renal cysts in CT;the importance of the features of the posterior cruciate ligament in diagnosis;multimodal image registration for mandible motion tracking;breast ultrasound tomography;the ultrasound investigation of the medial head of gastrocnemius muscle;the use of doppler effect for tomographic tissue imaging with omnidirectional acoustic data acquisition;analytical statistical approach for fan-beam scanners;3D measurement of geometrical distortion of synchrotron-based perforated polymer with matlab algorithm;improving children diagnostics by efficient multi-label classification method;towards pulse wave velocity estimation using specific ECG and PPG algorithms;averaging of time-warped ECG signals for QT interval measurement and localization of epileptic foci using EEG brain mapping.
The importance of this paper focuses on the efficiency of the solar panel which can be increased by incorporating indigenous solar tracking systems in order to increase solar panel efficiency. The implementation neces...
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ISBN:
(纸本)9781450347563
The importance of this paper focuses on the efficiency of the solar panel which can be increased by incorporating indigenous solar tracking systems in order to increase solar panel efficiency. The implementation necessitates precise control which is important to build a refined tracking system. A solar tracking system with Artificial Neural Network (ANN) based imageprocessing (IPT) Techniques to estimate the astronomical aspects of the sun from Global Positioning System (GPS) and machine vision image sensor is proposed here. The features extracted using IP algorithms with a decision making AI process is adopted to differentiate whether the present weather condition is sunny or cloudy. With reference to the results obtained, the solar tracking system establishes the usage of astronomical calculations approximately. The proposed hi-tech arrangement is evaluated and validated through experimentation results which are made available on the cloud service for coordination.
Feature extraction is an essential step in many imageprocessing and computer vision applications. It is quite desirable that the extracted features can effectively represent an image. Furthermore, the dominant inform...
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ISBN:
(纸本)9788132225386;9788132225379
Feature extraction is an essential step in many imageprocessing and computer vision applications. It is quite desirable that the extracted features can effectively represent an image. Furthermore, the dominant information visually perceived by human beings should be efficiently represented by the extracted features. Over the last few decades, different algorithms are proposed to address the major issues of image representations by the efficient features. Gabor wavelet is one of the most widely used filters for image feature extraction. Existing Gabor wavelet-based feature extraction methodologies unnecessarily use both the real and the imaginary coefficients, which are subsequently processed by dimensionality reduction techniques such as PCA, LDA etc. This procedure ultimately affects the overall performance of the algorithm in terms of memory requirement and the computational complexity. To address this particular issue, we proposed a local image feature extraction method by using a Gabor wavelet. In our method, an image is divided into overlapping image blocks, and subsequently each of the image blocks are separately filtered out by Gabor wavelet. Finally, the extracted coefficients are concatenated to get the proposed local feature vector. The efficacy and effectiveness of the proposed feature extraction method is evaluated using the estimation of mean square error (MSE), peak signal-to-noise ratio (PSNR), and the correlation coefficient (CC) by reconstructing the original image using the extracted features, and compared it with the original input image. All these performance evaluation measures clearly show that real coefficients of the Gabor filter alone can effectively represent an image as compared to the methods which utilize either the imaginary coefficients or the both. The major novelty of our method lies on our claim-capability of the real coefficients of a Gabor filter for image representation.
A new era of intelligent Medical diagnostics is emerging with the development of machine learning-based algorithms to diagnose neurodegenerative diseases (NDDs). In the present work, we discuss an innovative framework...
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A new era of intelligent Medical diagnostics is emerging with the development of machine learning-based algorithms to diagnose neurodegenerative diseases (NDDs). In the present work, we discuss an innovative framework that uses principal component analysis (PCA) for feature extraction, Fisher discriminant ratio (UDR) for feature selection and support vector machines (SVM) for classification of Healthy controls, Parkinson's Disease and SWEDD subjects. We have extended Our framework to handle the challenge of multi-class disease diagnosis. wherein, accuracy up to 1001 has been achieved. This demonstrates the potential of the present methodology to be developed into a clinical relevant diagnostic and decision support system. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Background: A new proprietary image-processing system known as AlluraClarity, developed by Philips Healthcare (Best, The Netherlands) for radiation-based interventional procedures, claims to lower radiation dose while...
Background: A new proprietary image-processing system known as AlluraClarity, developed by Philips Healthcare (Best, The Netherlands) for radiation-based interventional procedures, claims to lower radiation dose while preserving image quality using noise-reduction algorithms. This study determined whether the surgeon and patient radiation dose during complex endovascular procedures (CEPs) is decreased after the implementation of this new operating system. Methods: Radiation dose to operators, procedure type, reference air kerma, kerma area product, and patient body mass index were recorded during CEPs on two Philips Allura FD 20 fluoroscopy systems with and without Clarity. Operator dose during CEPs was measured using optically stimulable, luminescent nanoDot (Landauer Inc, Glenwood, Ill) detectors placed outside the lead apron at the left upper chest position. nanoDots were read using a microStar ii (Landauer Inc) medical dosimetry system. For the CEPs in the Clarity group, the radiation dose to surgeons was also measured by the DoseAware (Philips Healthcare) personal dosimetry system. Side-by-side measurements of DoseAware and nanoDots allowed for cross-calibration between systems. Operator effective dose was determined using a modified Niklason algorithm. To control for patient size and case complexity, the average fluoroscopy dose rate and the dose per radiographic frame were adjusted for body mass index differences and then compared between the groups with and without Clarity by procedure. Additional factors, for example, physician practice patterns, that may have affected operator dose were inferred by comparing the ratio of the operator dose to procedural kerma area product with and without Clarity. A one-sided Wilcoxon rank sum test was used to compare groups for radiation doses, reference air kermas, and operating practices for each procedure type. Results: The analysis included 234 CEPs;95 performed without Clarity and 139 with Clarity. Practice patterns o
Registration plate recognition plays a vital role in numerous applications in today’s world. We also introduce a new approach using genetic algorithm to figure out the registration plate location. Fluctuating illumin...
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Signal processing subsystem is the core of a radar system, the performance and the design cycle of which could directly influence the implementation of the whole system. Therefore, how to realize a high-performance fl...
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ISBN:
(纸本)9781509013456
Signal processing subsystem is the core of a radar system, the performance and the design cycle of which could directly influence the implementation of the whole system. Therefore, how to realize a high-performance flexible universal real-time SAR signal processing system is one of the main challenges nowadays. The paper proposes the design architecture and implementation of a high-performance real-time SAR signal processing system with the TI's latest multi-core DSP TMS320C6678 based on the VPX 3U standard. It shows the strong computation ability, stability, easy reconstruction and good adaptability to a variety of imaging algorithms. By the successful application cases of the multi-mode, multi-polarization, multi-resolution space-borne and airborne real-time SAR imaging systems, its flexibility and high-performance could be adequately proved. Moreover, our experiment result indicates that a SAR RD algorithm takes only 21.55s for a 0.2m* 0.2m resolution 4GB(16Kx32K complex points) image, achieving realtime performance.
The proceedings contain 92 papers. The topics discussed include: dual frequency microstrip antenna design for 700 MHz UHF band and WLAN application;VHDL code generation as state machine from a data flow graph;image pr...
ISBN:
(纸本)9781509037940
The proceedings contain 92 papers. The topics discussed include: dual frequency microstrip antenna design for 700 MHz UHF band and WLAN application;VHDL code generation as state machine from a data flow graph;imageprocessing algorithm for improving the identification of patterns on diptera wings;open software/hardware architecture for advanced force/position control of an industrial robot;development of a breathalyzer for car drivers;analysis of convex adaptive structures and algorithms for smart antennas;design and simulation of a fuzzy controller for vertical take off and landing (VTOL) systems;and intelligent assistant to control home power network.
It is well known that automatic speaker verification (ASV) systems can be vulnerable to spoofing. The community has responded to the threat by developing dedicated countermeasures aimed at detecting spoofing attacks. ...
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ISBN:
(纸本)9781510833135
It is well known that automatic speaker verification (ASV) systems can be vulnerable to spoofing. The community has responded to the threat by developing dedicated countermeasures aimed at detecting spoofing attacks. Progress in this area has accelerated over recent years, partly as a result of the first standard evaluation, ASVspoof 2015, which focused on spoofing detection in isolation from ASV. This paper investigates the integration of state-of-the-art spoofing countermeasures in combination with ASV. Two general strategies to countermeasure integration are reported: cascaded and parallel. The paper reports the first comparative evaluation of each approach performed with the ASVspoof 2015 corpus. Results indicate that, even in the case of varying spoofing attack algorithms, ASV performance remains robust when protected with a diverse set of integrated countermeasures.
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