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https://www.readbyqxmd.com/read/28644816/fast-and-accurate-poisson-denoising-with-trainable-nonlinear-diffusion
#1
Wensen Feng, Peng Qiao, Yunjin Chen
The degradation of the acquired signal by Poisson noise is a common problem for various imaging applications, such as medical imaging, night vision, and microscopy. Up to now, many state-of-the-art Poisson denoising techniques mainly concentrate on achieving utmost performance, with little consideration for the computation efficiency. Therefore, in this paper we aim to propose an efficient Poisson denoising model with both high computational efficiency and recovery quality. To this end, we exploit the newly developed trainable nonlinear reaction diffusion (TNRD) model which has proven an extremely fast image restoration approach with performance surpassing recent state-of-the-arts...
June 20, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28643722/endogenous-endophthalmitis-caused-by-cryptococcus-neoformans-var-gattii-mimicking-choroidal-tumor-from-positron-emission-tomography-computed-tomography-to-histopathology
#2
Chun-Ju Lin, Wen-Lu Chen, Jane-Ming Lin, Peng-Tai Tien, Yi-Yu Tsai
A 60-year-old immunocompetent female with pneumonia history about 10 years ago suffered from blurred vision overall survival for 3 weeks. Common cold with headache and unintentional body weight loss was also noted recently. Choroidal detachment simulating choroidal tumor was observed in the temporal quadrant. The 18F-fluoro-2-deoxyglucose (FDG) positron-emission tomography/computed tomography (CT) scan showed focal, mild to moderate FDG uptake in the left lateral orbit, and an enhanced lesion was seen on the recent CT scan...
June 2017: Indian Journal of Ophthalmology
https://www.readbyqxmd.com/read/28641273/learning-and-recognition-of-clothing-genres-from-full-body-images
#3
Shintami C Hidayati, Chuang-Wen You, Wen-Huang Cheng, Kai-Lung Hua
According to the theory of clothing design, the genres of clothes can be recognized based on a set of visually differentiable style elements, which exhibit salient features of visual appearance and reflect high-level fashion styles for better describing clothing genres. Instead of using less-discriminative low-level features or ambiguous keywords to identify clothing genres, we proposed a novel approach for automatically classifying clothing genres based on the visually differentiable style elements. A set of style elements, that are crucial for recognizing specific visual styles of clothing genres, were identified based on the clothing design theory...
June 19, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28640656/measuring-exertion-time-duty-cycle-and-hand-activity-level-for-industrial-tasks-using-computer-vision
#4
Oguz Akkas, Cheng Hsien Lee, Yu Hen Hu, Carisa Harris Adamson, David Rempel, Robert G Radwin
Two computer vision algorithms were developed to automatically estimate exertion time, duty cycle (DC), and hand activity level (HAL) from videos of workers performing 50 industrial tasks. The average DC difference between manual frame-by-frame analysis and the computer vision DC was -5.8% for the Decision Tree (DT) algorithm, and 1.4% for the Feature Vector Training (FVT) algorithm. The average HAL difference was 0.5 for the DT algorithm and 0.3 for the FVT algorithm. A sensitivity analysis, conducted to examine the influence that deviations in DC have on HAL, found it remained unaffected when DC error was less than 5%...
June 22, 2017: Ergonomics
https://www.readbyqxmd.com/read/28637740/tablet-computers-versus-optical-aids-to-support-education-and-learning-in-children-and-young-people-with-low-vision-protocol-for-a-pilot-randomised-controlled-trial-create-children-reading-with-electronic-assistance-to-educate
#5
Michael D Crossland, Rachel Thomas, Hilary Unwin, Seelam Bharani, Vijaya K Gothwal, Ana Quartilho, Catey Bunce, Annegret Dahlmann-Noor
INTRODUCTION: Low vision and blindness adversely affect education and independence of children and young people. New 'assistive' technologies such as tablet computers can display text in enlarged font, read text out to the user, allow speech input and conversion into typed text, offer document and spreadsheet processing and give access to wide sources of information such as the internet. Research on these devices in low vision has been limited to case series. METHODS AND ANALYSIS: We will carry out a pilot randomised controlled trial (RCT) to assess the feasibility of a full RCT of assistive technologies for children/young people with low vision...
June 21, 2017: BMJ Open
https://www.readbyqxmd.com/read/28632158/on-the-application-of-image-processing-methods-for-bubble-recognition-to-the-study-of-subcooled-flow-boiling-of-water-in-rectangular-channels
#6
Concepción Paz, Marcos Conde, Jacobo Porteiro, Miguel Concheiro
This work introduces the use of machine vision in the massive bubble recognition process, which supports the validation of boiling models involving bubble dynamics, as well as nucleation frequency, active site density and size of the bubbles. The two algorithms presented are meant to be run employing quite standard images of the bubbling process, recorded in general-purpose boiling facilities. The recognition routines are easily adaptable to other facilities if a minimum number of precautions are taken in the setup and in the treatment of the information...
June 20, 2017: Sensors
https://www.readbyqxmd.com/read/28631645/primary-leptomeningeal-primitive-neuroectodermal-tumor-a-difficult-entity-to-diagnose
#7
Jyothy Sehgal, Murthy Murali Krishna Jagarlapudi, Murthy V R K Tenneti, Syed Ameer Basha, Sundaram Challa
A 25-year-old male presented with difficulty in walking, loss of vision, and seizures. A clinical possibility of craniospinal meningeal pathology was considered. On computed tomography (CT) scan and magnetic resonance imaging, there was an enhancement of leptomeninges with few ring-enhancing lesions in both frontal lobes and right frontoparietal region. He was evaluated for low backache and occipital headache 2½ years earlier and was found to have communicating hydrocephalus on CT scan. He underwent ventriculoperitoneal shunt and was followed up with CT scans...
April 2017: Indian Journal of Pathology & Microbiology
https://www.readbyqxmd.com/read/28628753/computer-vision-syndrome
#8
Susan A Randolph
With the increased use of electronic devices with visual displays, computer vision syndrome is becoming a major public health issue. Improving the visual status of workers using computers results in greater productivity in the workplace and improved visual comfort.
July 2017: Workplace Health & Safety
https://www.readbyqxmd.com/read/28625345/editorial-frontiers-in-development-of-intelligent-applications-for-medical-imaging-processing-and-computer-vision
#9
EDITORIAL
Roshan J Martis, Hong Lin, Varadraj P Gurupur, Steven L Fernandes
No abstract text is available yet for this article.
June 9, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28624755/stereo-vision-based-tracking-of-soft-tissue-motion-with-application-to-online-ablation-control-in-laser-microsurgery
#10
Andreas Schoob, Dennis Kundrat, Lüder A Kahrs, Tobias Ortmaier
Recent research has revealed that image-based methods can enhance accuracy and safety in laser microsurgery. In this study, non-rigid tracking using surgical stereo imaging and its application to laser ablation is discussed. A recently developed motion estimation framework based on piecewise affine deformation modeling is extended by a mesh refinement step and considering texture information. This compensates for tracking inaccuracies potentially caused by inconsistent feature matches or drift. To facilitate online application of the method, computational load is reduced by concurrent processing and affine-invariant fusion of tracking and refinement results...
June 8, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28624710/role-of-impaired-vision-during-dual-task-walking-in-young-and-older-adults
#11
V Krishnan, Y Cho, O Mohamed
While cognitive-motor interference in dual-task activities is well established, it is still unknown how such interference is influenced by concurrent visual challenges. Nineteen community-dwelling healthy, cognitively intact, older adults (Mean±SD=71.45±1.25years, 6 males) and nineteen young adults (Mean±SD=22.25±0.68years, 4 males) performed a cognitive-single-task (serial subtraction by 3), a walking-single-task and a cognitive-walking-dual-task under normal, blurred and peripheral-vision-loss conditions (artificially imposed using goggles)...
June 10, 2017: Gait & Posture
https://www.readbyqxmd.com/read/28622318/characteristics-of-symptoms-experienced-by-persons-with-dry-eye-disease-while-driving-in-china
#12
Y Wang, H Lv, Y Liu, X Jiang, M Zhang, X Li, W Wang
PurposeTo assess the vision-related quality of life and self-reported driving performance of patients with dry eye disease (DED).Patients and methodsThe study was performed in the eye centre of Peking University Third Hospital, China. In total, 87 dry eye patients and 42 controls were enroled, including 49 patients without any treatment (group A), 38 patients treated with artificial tears (group B) and 42 controls without DED (group C). The participants had no eye disease other than DED. Scores of a vision-related quality-of-life questionnaire (Ocular Surface Disease Index (OSDI)), a daily life-related visual function questionnaire and a questionnaire about performance during driving were collected...
June 16, 2017: Eye
https://www.readbyqxmd.com/read/28621740/a-multi-disciplinary-approach-to-remote-sensing-through-low-cost-uavs
#13
Gabriela Calvario, Basilio Sierra, Teresa E Alarcón, Carmen Hernandez, Oscar Dalmau
The use of Unmanned Aerial Vehicles (UAVs) based on remote sensing has generated low cost monitoring, since the data can be acquired quickly and easily. This paper reports the experience related to agave crop analysis with a low cost UAV. The data were processed by traditional photogrammetric flow and data extraction techniques were applied to extract new layers and separate the agave plants from weeds and other elements of the environment. Our proposal combines elements of photogrammetry, computer vision, data mining, geomatics and computer science...
June 16, 2017: Sensors
https://www.readbyqxmd.com/read/28617660/circuits-for-action-and-cognition-a-view-from-the-superior-colliculus
#14
Michele A Basso, Paul J May
The superior colliculus is one of the most well-studied structures in the brain, and with each new report, its proposed role in behavior seems to increase in complexity. Forty years of evidence shows that the colliculus is critical for reorienting an organism toward objects of interest. In monkeys, this involves saccadic eye movements. Recent work in the monkey colliculus and in the homologous optic tectum of the bird extends our understanding of the role of the colliculus in higher mental functions, such as attention and decision making...
June 15, 2017: Annual Review of Vision Science
https://www.readbyqxmd.com/read/28615794/deepinfer-open-source-deep-learning-deployment-toolkit-for-image-guided-therapy
#15
Alireza Mehrtash, Mehran Pesteie, Jorden Hetherington, Peter A Behringer, Tina Kapur, William M Wells, Robert Rohling, Andriy Fedorov, Purang Abolmaesumi
Deep learning models have outperformed some of the previous state-of-the-art approaches in medical image analysis. Instead of using hand-engineered features, deep models attempt to automatically extract hierarchical representations at multiple levels of abstraction from the data. Therefore, deep models are usually considered to be more flexible and robust solutions for image analysis problems compared to conventional computer vision models. They have demonstrated significant improvements in computer-aided diagnosis and automatic medical image analysis applied to such tasks as image segmentation, classification and registration...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28614849/perceptual-learning-is-specific-beyond-vision-and-decision-making
#16
Lukasz Grzeczkowski, Aline Cretenoud, Michael H Herzog, Fred W Mast
Perceptual learning is usually assumed to occur within sensory areas or when sensory evidence is mapped onto decisions. Subsequent procedural and motor processes, involved in most perceptual learning experiments, are thought to play no role in the learning process. Here, we show that this is not the case. Observers trained with a standard three-line bisection task and indicated the offset direction of the central line by pressing either a left or right push button. Before and after training, observers adjusted the central line of the same bisection stimulus using a computer mouse...
June 1, 2017: Journal of Vision
https://www.readbyqxmd.com/read/28613175/two-dimensional-feature-selection-by-sparse-matrix-regression
#17
Chenping Hou, Yuanyuan Jiao, Feiping Nie, Tingjin Luo, Zhi-Hua Zhou
For many image processing and computer vision problems, data points are in matrix form. Traditional methods often convert a matrix to a vector and then use vector based approaches. They will ignore the location of matrix elements and the converted vector often has high dimensionality. How to select features for two dimensional matrix data directly is still an uninvestigated important issue. In this paper, we propose an algorithm named as Sparse Matrix Regression (SMR) for direct feature selection on matrix data...
June 8, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28613172/learning-the-image-processing-pipeline
#18
Haomiao Jiang, Qiyuan Tian, Joyce Farrell, Brian Wandell
Many creative ideas are being proposed for image sensor designs, and these may be useful in applications ranging from consumer photography to computer vision. To understand and evaluate each new design, we must create a corresponding image processing pipeline that transforms the sensor data into a form that is appropriate for the application. The need to design and optimize these pipelines is time-consuming and costly. We explain a method that combines machine learning and image systems simulation that automates the pipeline design...
June 8, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28611840/deep-learning-for-plant-identification-in-natural-environment
#19
Yu Sun, Yuan Liu, Guan Wang, Haiyan Zhang
Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental plant species in Beijing Forestry University campus. A 26-layer deep learning model consisting of 8 residual building blocks is designed for large-scale plant classification in natural environment. The proposed model achieves a recognition rate of 91.78% on the BJFU100 dataset, demonstrating that deep learning is a promising technology for smart forestry...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28611582/cifar10-dvs-an-event-stream-dataset-for-object-classification
#20
Hongmin Li, Hanchao Liu, Xiangyang Ji, Guoqi Li, Luping Shi
Neuromorphic vision research requires high-quality and appropriately challenging event-stream datasets to support continuous improvement of algorithms and methods. However, creating event-stream datasets is a time-consuming task, which needs to be recorded using the neuromorphic cameras. Currently, there are limited event-stream datasets available. In this work, by utilizing the popular computer vision dataset CIFAR-10, we converted 10,000 frame-based images into 10,000 event streams using a dynamic vision sensor (DVS), providing an event-stream dataset of intermediate difficulty in 10 different classes, named as "CIFAR10-DVS...
2017: Frontiers in Neuroscience
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