Results 31 to 40 of about 47,690,023 (260)
Image Feature Extraction Using Symbolic Data of Cumulative Distribution Functions
MathematicsSymbolic data analysis is an emerging field in statistics with great potential to become a standard inferential technique. This research introduces a new approach to image feature extraction using the empirical cumulative distribution function (ECDF) and
Sri Winarni +3 more
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SAR Image Segmentation Using Morphological Attribute Profiles [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 In the last years, the spatial resolution of remote sensing sensors and imagery has continuously improved. Focusing on spaceborne Synthetic Aperture Radar (SAR) sensors, the satellites of the current generation (TerraSAR-X, COSMO-SykMed) are able to ...
M. Boldt, A. Thiele, K. Schulz, S. Hinz
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Deep learning for land use and land cover classification from the Ecuadorian Paramo.
International Journal of Digital Earth, 2022 The paramo, plays an important role in our ecosystems as They balance the water resources and can retain substantial quantities of carbon. This research was carried out in the province of Tungurahua, specifically the Quero district. The aim is to develop
Marco Castelo-Cabay +2 more
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Remote Sensing, 2022 Fundamental image processing methods, such as atmospheric corrections and pansharpening, influence the signal of the pixel. This morphs the spectral signature of target features causing a change in both the final spectra and the way different mapping ...
Shridhar D. Jawak +3 more
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FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
RTS noise impact in CMOS image sensors readout circuit [PDF]
, 2009 CMOS image sensors are nowadays widely used in imaging applications even for high end applications. This is really possible thanks to a reduction of noise obtained, among others, by Correlated Double Sampling (CDS) readout.
P. Magnan +3 more
core +1 more source
Characterization of Structural Building Damage in Post-Disaster Using GLCM-PCA Analysis Integration
IEEE AccessObjective: To determine the characteristics of a building after a natural disaster using image input through the integration of image analysis techniques. Methods: Several image analysis techniques, including GLCM and PCA, were employed. The GLCM process
Agung Teguh Wibowo Almais +7 more
doaj +1 more source
PLoS ONE, 2018 Assessing the cytoplasmic uptake of fluorescently-tagged drugs in heterogeneous cell types currently involves time-consuming manual segmentation of confocal microscopy images.
Allan Kachelmeier +5 more
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FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
Pixel Level Image Fusion using Fuzzylet Fusion Algorithm [PDF]
, 2013 Image fusion algorithms based on SWT (Stationary Wavelet Transform) and fuzzy logic were developed and demonstrated. It was observed that fusion using SWT with higher levels of decomposition provides better fusion results. Similarly, Fuzzy image fusion
Bindu, Elias, Naidu, VPS, Swathi, Nair
core