Feature based remote sensing image registration techniques: a comprehensive and comparative review
Earth observation using remote sensing data is a trending research field across the globe. In
this perspective, image registration is a mandatory data processing step for any kind of time …
this perspective, image registration is a mandatory data processing step for any kind of time …
Patient centric trustworthy AI in medical analysis and disease prediction: A Comprehensive survey and taxonomy
Artificial Intelligence (AI) integration in healthcare is revolutionizing medical analysis and
disease prediction, enhancing diagnostic accuracy and patient care. However, with the …
disease prediction, enhancing diagnostic accuracy and patient care. However, with the …
Image matching based on the adaptive redundant keypoint elimination method in the SIFT algorithm
Z Hossein-Nejad, H Agahi… - Pattern Analysis and …, 2021 - Springer
Scale invariant feature transform (SIFT) is one of the most effective techniques in image
matching applications. However, it has a main drawback: existing numerous redundant …
matching applications. However, it has a main drawback: existing numerous redundant …
SMACC: A system for microplastics automatic counting and classification
The management of plastic debris is a serious issue due to its durability. Unfortunately,
million tons of plastic end up in the sea becoming one of the biggest current environmental …
million tons of plastic end up in the sea becoming one of the biggest current environmental …
A robust two-stage registration algorithm for large optical and SAR images
Accurate optical and synthetic aperture radar (SAR) image registration is crucial to
multisensor remote sensing applications. Though several algorithms have been proposed …
multisensor remote sensing applications. Though several algorithms have been proposed …
Robust robot pose estimation for challenging scenes with an RGB-D camera
Rigid robot pose estimation with an RGB-D camera has attracted substantial research
attention recently for the reason that the RGB-D camera can capture RGB and depth …
attention recently for the reason that the RGB-D camera can capture RGB and depth …
Clustered redundant keypoint elimination method for image mosaicing using a new Gaussian-weighted blending algorithm
Z Hossein-Nejad, M Nasri - The Visual Computer, 2022 - Springer
In this paper, a new method for image mosaicing (image stitching) is introduced based on
Scale Invariant Feature transform (SIFT). One of the main drawbacks of SIFT is the …
Scale Invariant Feature transform (SIFT). One of the main drawbacks of SIFT is the …
Enhanced defect detection on wind turbine blades using binary segmentation masks and YOLO
The detection of defects and contamination on wind turbine blades (WTBs) using neural
networks is a rapidly growing research area. One problem with publicly available datasets of …
networks is a rapidly growing research area. One problem with publicly available datasets of …
Adaptive RANSAC and extended region-growing algorithm for object recognition over remote-sensing images
Z Hossein-Nejad, M Nasri - Multimedia Tools and Applications, 2022 - Springer
In this paper, a new approach is proposed for object recognition in remote-sensing images.
In the proposed approach, the matching process between the object in the template and test …
In the proposed approach, the matching process between the object in the template and test …
An adaptive medical image registration using hybridization of teaching learning-based optimization with affine and speeded up robust features with projective …
In the last several decades, application of affine transformation and optimization approaches
have received enough attention in the domain of monomodal/multimodal image registration …
have received enough attention in the domain of monomodal/multimodal image registration …