Respiratory motion correction for liver contrast-enhanced ultrasound by automatic selection of a reference image.
Sign Up to like & getrecommendations! Published in 2019 at "Medical physics"
DOI: 10.1002/mp.13776
Abstract: PURPOSE Respiratory motion correction is necessary for the quantitative analysis of liver contrast-enhanced ultrasound (CEUS) image sequences. Most respiratory motion correction methods are based on the dual mode of CEUS image sequences, including contrast and… read more here.
Keywords: motion; image; correction; image sequences ... See more keywords
Removal of specular reflections from image sequences using feature correspondences
Sign Up to like & getrecommendations! Published in 2017 at "Machine Vision and Applications"
DOI: 10.1007/s00138-017-0826-6
Abstract: The presence of specular highlights can hide underlying features of a scene within an image and can be problematic in many application scenarios. In particular, this poses a significant challenge for applications where image stitching… read more here.
Keywords: image; reflections image; removal specular; image sequences ... See more keywords
Characterization of image sequences of a defect using pulsed eddy current signals
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Magnetism and Magnetic Materials"
DOI: 10.1016/j.jmmm.2021.168007
Abstract: Abstract Pulsed eddy current testing (PECT) has the advantages of rich information, efficiency and noncontact among defect nondestructive testing. Pulsed eddy current imaging technology also has a wide range of applications. However, the imaging method… read more here.
Keywords: pulsed eddy; eddy current; sequence; image sequences ... See more keywords
Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2021.102170
Abstract: Obtaining manual labels is time-consuming and labor-intensive on cardiac image sequences. Few-shot segmentation can utilize limited labels to learn new tasks. However, it suffers from two challenges: spatial-temporal distribution bias and long-term information bias. These… read more here.
Keywords: image; image sequences; level; adaptation ... See more keywords
Iteration and superposition encryption scheme for image sequences based on multi-dimensional keys
Sign Up to like & getrecommendations! Published in 2017 at "Optics Communications"
DOI: 10.1016/j.optcom.2017.08.007
Abstract: Abstract An iteration and superposition encryption scheme for image sequences based on multi-dimensional keys is proposed for high security, big capacity and low noise information transmission. Multiple images to be encrypted are transformed into phase-only… read more here.
Keywords: iteration; dimensional keys; image; image sequences ... See more keywords
3D convolution for multidate crop recognition from multitemporal image sequences
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2021.1976876
Abstract: The increasing food demand is regarded as the main threat to nature today. In this scenario, Remote Rensing is an essential technology to assess and monitor the extent and productivity of cultivate... read more here.
Keywords: convolution multidate; crop recognition; image sequences; recognition multitemporal ... See more keywords
Deep Learning Assessment of Myocardial Infarction From MR Image Sequences
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2889744
Abstract: The quantitative assessment of the location and size of myocardial infarction has important implications for the diagnosis and treatment of ischemic cardiac diseases. In particular, the tasks of optical flow estimation are of increasing interest… read more here.
Keywords: image sequences; infarction; learning assessment; deep learning ... See more keywords
Automatic Left Ventricle Recognition, Segmentation and Tracking in Cardiac Ultrasound Image Sequences
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2920957
Abstract: In this study, we propose a novel method incorporating faster region-based convolutional neural network and active shape model to automatically recognize, segment, and track the left ventricle in cardiac ultrasound image sequences, respectively. Ultrasound images… read more here.
Keywords: ventricle; left ventricle; cardiac ultrasound; image sequences ... See more keywords
Bathymetry Determination From Marine Radar Image Sequences Using the Hilbert Transform
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2668383
Abstract: This letter presents an image processing technique based on the theory of the Hilbert transform to determine the coastal bathymetry from marine radar image sequences. Use of the Hilbert transform enables the difficulties and complications… read more here.
Keywords: image; image sequences; hilbert transform; bathymetry ... See more keywords
A CSF-Based CNR Approach for Small-Size Image Sequences
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2950594
Abstract: For non-rigid structure from motion (NRSFM), the performance of most traditional approaches may decrease significantly when the frame number of the image sequence is relatively small. In this letter, a column space fitting (CSF) based… read more here.
Keywords: size image; csf based; small size; approach ... See more keywords
DeepSeed Local Graph Matching for Densely Packed Cells Tracking
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2936851
Abstract: The tracking of densely packed plant cells across microscopy image sequences is very challenging, because their appearance change greatly over time. A local graph matching algorithm was proposed to track such cells by exploiting the… read more here.
Keywords: local graph; image sequences; cell; graph matching ... See more keywords