A real time TV to computer image input system using run coding.

1976 ◽  
Vol 24 (1) ◽  
pp. 112-121 ◽  
Author(s):  
A S Farrow ◽  
J H Tucker
Keyword(s):  
Real Time ◽  
Spatial Resolution ◽  
Computer Analysis ◽  
Computer Image ◽  
Substantial Reduction ◽  
Cervical Smear ◽  
Moderate Size ◽  
Input System ◽  
Scan Domain ◽  
Density Resolution

Run coding applied to the digitized video signal from a TV scan of cell preparations can effect a substantial reduction in the total amount of data, sufficient to permit a moderate size of store to be loaded within one frame time with a representation of the field adequate for computer analysis. This paper describes the design of a run coding interface between a TV scanner and a computer store which also allows control of scan domain, spatial resolution and density resolution. Results are presented showing its efficiency when dealing with cervical smear preparations.

scholarly journals Unsupervised Sub-Pixel Water Body Mapping with Sentinel-3 OLCI Image

2019 ◽  
Vol 11 (3) ◽  
pp. 327 ◽  
Author(s):  
Xia Wang ◽  
Feng Ling ◽  
Huaiying Yao ◽  
Yaolin Liu ◽  
Shuna Xu
Keyword(s):  
Surface Water ◽  
Real Time ◽  
Spatial Resolution ◽  
Water Body ◽  
Land Surface ◽  
Clustering Algorithm ◽  
Body Mapping ◽  
Water Index ◽  
Land Surface Water ◽  
Body Map

Mapping land surface water bodies from satellite images is superior to conventional in situ measurements. With the mission of long-term and high-frequency water quality monitoring, the launch of the Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3A and Sentinel-3B provides the best possible approach for near real-time land surface water body mapping. Sentinel-3 OLCI contains 21 bands ranging from visible to near-infrared, but the spatial resolution is limited to 300 m, which may include lots of mixed pixels around the boundaries. Sub-pixel mapping (SPM) provides a good solution for the mixed pixel problem in water body mapping. In this paper, an unsupervised sub-pixel water body mapping (USWBM) method was proposed particularly for the Sentinel-3 OLCI image, and it aims to produce a finer spatial resolution (e.g., 30 m) water body map from the multispectral image. Instead of using the fraction maps of water/non-water or multispectral images combined with endmembers of water/non-water classes as input, USWBM directly uses the spectral water index images of the Normalized Difference Water Index (NDWI) extracted from the Sentinel-3 OLCI image as input and produces a water body map at the target finer spatial resolution. Without the collection of endmembers, USWBM accomplished the unsupervised process by developing a multi-scale spatial dependence based on an unsupervised sub-pixel Fuzzy C-means (FCM) clustering algorithm. In both validations in the Tibet Plate lake and Poyang lake, USWBM produced more accurate water body maps than the other pixel and sub-pixel based water body mapping methods. The proposed USWBM, therefore, has great potential to support near real-time sub-pixel water body mapping with the Sentinel-3 OLCI image.

scholarly journals Near Real-Time Biophysical Rice (Oryza sativa L.) Yield Estimation to Support Crop Insurance Implementation in India

Agronomy ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1674
Author(s):  
Ponraj Arumugam ◽  
Abel Chemura ◽  
Bernhard Schauberger ◽  
Christoph Gornott
Keyword(s):  
Oryza Sativa ◽  
Real Time ◽  
Spatial Resolution ◽  
Yield Loss ◽  
Smallholder Farmers ◽  
Oryza Sativa L ◽  
Crop Insurance ◽  
Weather Data ◽  
Insurance Scheme ◽  
Agricultural Income

Immediate yield loss information is required to trigger crop insurance payouts, which are important to secure agricultural income stability for millions of smallholder farmers. Techniques for monitoring crop growth in real-time and at 5 km spatial resolution may also aid in designing price interventions or storage strategies for domestic production. In India, the current government-backed PMFBY (Pradhan Mantri Fasal Bima Yojana) insurance scheme is seeking such technologies to enable cost-efficient insurance premiums for Indian farmers. In this study, we used the Decision Support System for Agrotechnology Transfer (DSSAT) to estimate yield and yield anomalies at 5 km spatial resolution for Kharif rice (Oryza sativa L.) over India between 2001 and 2017. We calibrated the model using publicly available data: namely, gridded weather data, nutrient applications, sowing dates, crop mask, irrigation information, and genetic coefficients of staple varieties. The model performance over the model calibration years (2001–2015) was exceptionally good, with 13 of 15 years achieving more than 0.7 correlation coefficient (r), and more than half of the years with above 0.75 correlation with observed yields. Around 52% (67%) of the districts obtained a relative Root Mean Square Error (rRMSE) of less than 20% (25%) after calibration in the major rice-growing districts (>25% area under cultivation). An out-of-sample validation of the calibrated model in Kharif seasons 2016 and 2017 resulted in differences between state-wise observed and simulated yield anomalies from –16% to 20%. Overall, the good ability of the model in the simulations of rice yield indicates that the model is applicable in selected states of India, and its outputs are useful as a yield loss assessment index for the crop insurance scheme PMFBY.

A Real‐Time Speech Input System for a Digital Computer

1958 ◽  
Vol 30 (7) ◽  
pp. 668-669 ◽  
Author(s):  
James W. Forgie ◽  
George W. Hughes
Keyword(s):  
Real Time ◽  
Digital Computer ◽  
Speech Input ◽  
Input System

scholarly journals High temporal and spatial resolution studies of bone cells using real-time confocal reflection microscopy

Scanning ◽  
2008 ◽  
Vol 16 (5) ◽  
pp. 285-294 ◽  
Author(s):  
A. Boyde ◽  
P. Vesely ◽  
C. Gray ◽  
S. J. Jones
Keyword(s):  
Real Time ◽  
Spatial Resolution ◽  
Bone Cells ◽  
Temporal And Spatial

scholarly journals Real-time high spatial resolution dose verification in stereotactic motion adaptive arc radiotherapy

2018 ◽  
Vol 19 (4) ◽  
pp. 173-184 ◽  
Author(s):  
Mitchell Duncan ◽  
Matthew K. Newall ◽  
Vincent Caillet ◽  
Jeremy T. Booth ◽  
Paul J. Keall ◽  
...  
Keyword(s):  
Real Time ◽  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Dose Verification

scholarly journals Pooling of interdigital swab samples for PCR detection of virulent Dichelobacter nodosus

2017 ◽  
Vol 30 (2) ◽  
pp. 205-210 ◽  
Author(s):  
Deborah Greber ◽  
Iwan Locher ◽  
Peter Kuhnert ◽  
Marc-André Butty ◽  
Kerstin Holdener ◽  
...  
Keyword(s):  
Real Time ◽  
Sensitivity And Specificity ◽  
Real Time Pcr ◽  
Substantial Reduction ◽  
Control Program ◽  
Foot Rot ◽  
Dichelobacter Nodosus ◽  
Foot Disease ◽  
Development And Validation ◽  
Adequate Method

Virulent ovine foot rot is a contagious foot disease. Given the development and validation of a real-time PCR to detect Dichelobacter nodosus isolates that contain the virulence-associated protease genes aprV2 and aprB2, the diagnosis of foot rot has made considerable progress. We evaluated pooling methods to reduce the number of samples during a foot rot control program. Samples of individual feet were compared to a 4-feet sample of the same sheep. All further analyses based on 4-feet samples (pools-of-5 and pools-of-10 4-feet samples) were compared to samples of individual sheep, and a risk-based herd sampling was evaluated and compared to the whole flock. The sensitivity and specificity of the 4-feet samples for detection of aprV2-positive strains was 93.8% (CI: 87.6–97.5%) and 98.3% (CI: 96.5–99.3%), respectively. The sensitivity and specificity of the pools-of-10 was 86.7% (CI: 78.4–92.7%) and 100.0% (CI: 97.4–100%), respectively. Pools-of-5 were not significantly more sensitive than pools-of-10. The pooling of 4 individual foot samples into one 4-feet sample is an adequate method to reduce the number of samples of individual sheep. The sensitivity of pools-of-5 and pools-of-10 is too imprecise for a control program. Risk-based sampling allowed for a substantial reduction of samples to be tested, had a sensitivity of 95.8% (CI: 78.9–99.9%) and specificity of 100.0% (CI: 88.1–100.0%) when determining the foot rot flock status, and represents an adequate methodology to predict within-flock freedom from infection.

Design and Characterization of a Real Time, Large Area, High Spatial Resolution Particle Tracker Based on Scintillating Fibers

2013 ◽  
pp. 159-174 ◽  
Author(s):  
D. Lo Presti ◽  
D. L. Bonanno ◽  
F. Longhitano ◽  
C. Pugliatti ◽  
S. Aiello ◽  
...  
Keyword(s):  
Real Time ◽  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Large Area ◽  
Scintillating Fibers
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