Automatic diatom identification using contour analysis by morphological curvature scale spaces

Acute heart failure – the rapid onset of, or change in, signs and/or symptoms of heart failure requiring urgent treatment – is a serious clinical syndrome, associated with high mortality and healthcare costs. History, physical examination and early 2D and Doppler echocardiography are crucial to the proper assessment of patients, and will help determine the appropriate monitoring and management strategy. Most patients are elderly and have considerable co-morbidity. Clinical assessment is key to monitoring progress, but a number of clinical techniques – including simple Doppler and echocardiographic tools, pulse contour analysis and impedance cardiography – can help assess the response to therapy. A pulmonary artery catheter is not a routine monitoring tool, but can be very useful in patients with complex physiology, in those who fail to respond to therapy as would be anticipated, or in those being considered for mechanical intervention. As yet, the serial measurement of plasma natriuretic peptides is of limited value, but it does have a role in diagnosis and prognostication. Increasingly, the remote monitoring of physiological variables by completely implanted devices is possible, but the place of such technology in clinical practice is yet to be clearly established.

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Goal-directed fluid therapy based on uncalibrated pulse contour analysis during transthoracic esophagectomy does not improve outcome

10.26226/morressier.58f5b02ed462b80296c9dfdf ◽

2017 ◽

Author(s):

Hans Bahlmann

Keyword(s):

Fluid Therapy ◽

Pulse Contour Analysis ◽

Pulse Contour ◽

Transthoracic Esophagectomy ◽

Contour Analysis ◽

Improve Outcome ◽

Goal Directed Fluid Therapy

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Faculty Opinions recommendation of Multiple radial midpupil lid distances: a simple method for lid contour analysis.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.717960761.793463691 ◽

2012 ◽

Author(s):

Michael Kazim ◽

Payal Patel

Keyword(s):

Contour Analysis ◽

Simple Method

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A Lightweight Fusion Distillation Network for Image Deblurring and Deraining

Sensors ◽

10.3390/s21165312 ◽

2021 ◽

Vol 21 (16) ◽

pp. 5312

Author(s):

Yanni Zhang ◽

Yiming Liu ◽

Qiang Li ◽

Jianzhong Wang ◽

Miao Qi ◽

...

Keyword(s):

Deep Learning ◽

Image Deblurring ◽

Image Features ◽

Image Feature ◽

Model Complexity ◽

Small Scale ◽

Feature Maps ◽

Learning Framework ◽

Channel Information ◽

Scale Spaces

Recently, deep learning-based image deblurring and deraining have been well developed. However, most of these methods fail to distill the useful features. What is more, exploiting the detailed image features in a deep learning framework always requires a mass of parameters, which inevitably makes the network suffer from a high computational burden. We propose a lightweight fusion distillation network (LFDN) for image deblurring and deraining to solve the above problems. The proposed LFDN is designed as an encoder–decoder architecture. In the encoding stage, the image feature is reduced to various small-scale spaces for multi-scale information extraction and fusion without much information loss. Then, a feature distillation normalization block is designed at the beginning of the decoding stage, which enables the network to distill and screen valuable channel information of feature maps continuously. Besides, an information fusion strategy between distillation modules and feature channels is also carried out by the attention mechanism. By fusing different information in the proposed approach, our network can achieve state-of-the-art image deblurring and deraining results with a smaller number of parameters and outperform the existing methods in model complexity.

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Infrared and visible image fusion via octave Gaussian pyramid framework

Scientific Reports ◽

10.1038/s41598-020-80189-1 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Lei Yan ◽

Qun Hao ◽

Jie Cao ◽

Rizvi Saad ◽

Kun Li ◽

...

Keyword(s):

Image Fusion ◽

Low Frequency ◽

Objective Evaluation ◽

Visible Image ◽

Composite Image ◽

Multiscale Decomposition ◽

Gaussian Pyramid ◽

Fusion Methods ◽

Scale Spaces ◽

Fusion Framework

AbstractImage fusion integrates information from multiple images (of the same scene) to generate a (more informative) composite image suitable for human and computer vision perception. The method based on multiscale decomposition is one of the commonly fusion methods. In this study, a new fusion framework based on the octave Gaussian pyramid principle is proposed. In comparison with conventional multiscale decomposition, the proposed octave Gaussian pyramid framework retrieves more information by decomposing an image into two scale spaces (octave and interval spaces). Different from traditional multiscale decomposition with one set of detail and base layers, the proposed method decomposes an image into multiple sets of detail and base layers, and it efficiently retains high- and low-frequency information from the original image. The qualitative and quantitative comparison with five existing methods (on publicly available image databases) demonstrate that the proposed method has better visual effects and scores the highest in objective evaluation.

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Boundary Morphology for Hierarchical Simplification of Archaeological Fragments

Mathematical Morphology - Theory and Applications ◽

10.1515/mathm-2020-0101 ◽

2020 ◽

Vol 4 (1) ◽

pp. 46-63

Author(s):

Hanan ElNaghy ◽

Leo Dorst

Keyword(s):

Mathematical Morphology ◽

Masking Effect ◽

Morphological Operations ◽

Fracture Surfaces ◽

Morphological Approach ◽

Archaeological Artifacts ◽

Scale Spaces ◽

Extrusion Method

AbstractWhen fitting archaeological artifacts, one would like to have a representation that simplifies fragments while preserving their complementarity. In this paper, we propose to employ the scale-spaces of mathematical morphology to hierarchically simplify potentially fitting fracture surfaces. We study the masking effect when morphological operations are applied to selected subsets of objects. Since fitting locally depends on the complementarity of fractures only, we introduce ‘Boundary Morphology’ on surfaces rather than volumes. Moreover, demonstrating the Lipschitz nature of the terracotta fractures informs our novel extrusion method to compute both closing and opening operations simultaneously. We also show that in this proposed representation the effects of abrasion and uncertainty are naturally bounded, justifying the morphological approach. This work is an extension of our contribution earlier published in the proceedings of ISMM2019 [10].

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OPTICAL SENSOR SYSTEM FOR THE NON-INVASIVE ASSESSMENT OF ARTERIAL STIFFNESS QUANTIFIED BY FOURTH DERIVATIVE OF PHOTOPLETHYSMOGRAM

Biomedical Engineering Applications Basis and Communications ◽

10.4015/s1016237215500210 ◽

2015 ◽

Vol 27 (03) ◽

pp. 1550021

Author(s):

S. Mohanalakshmi ◽

A. Sivasubramanian

Keyword(s):

Arterial Stiffness ◽

Elastic Properties ◽

Healthy Subjects ◽

Vascular System ◽

Augmentation Index ◽

Cardiac Risk ◽

Contour Analysis ◽

Non Invasive ◽

Asymmetrical Shape ◽

Fourth Derivative

Arterial stiffness, resulting in loss of the elastic properties of arteries walls, is an indicator of cardiovascular risk, though the presence of disease is not clinically evident. Augmentation index is an important biomarker of arterial stiffness by which the cardiac risk of the patient can be diagnosed. The current paper outlines the non-invasive assessment of arterial stiffness by analyzing the morphology or contour of PhotoPlethysmoGraph (PPG) signal. PPG pulse was optically acquired with the developed photometric measurement device and the desired features were extracted to determine PPG augmentation Index (PAI) through advanced signal processing implemented in MATLAB. PAI was quantified by the fourth derivative of the signal by enhancing the location of inflection point (augmentation point) after conditioning the signal by efficient pre-processing and filtering techniques. The results reveal that the statistical distribution of PAI for healthy subjects presents a very low value and a very tight distribution. On the contrary, patients have a higher value of PAI and a wide asymmetrical shape of distribution. This work also establishes the usefulness of PPG contour analysis in the investigation of changes in the elastic properties of the vascular system. In conclusion, PAI has revealed to be a non-invasive indicator for arterial stiffness assessments.

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