Results 1 to 10 of about 286,494 (263)

Adversarial Image Alignment and Interpolation

CoRR, 2017
Volumetric (3d) images are acquired for many scientific and biomedical purposes using imaging methods such as serial section microscopy, CT scans, and MRI. A frequent step in the analysis and reconstruction of such data is the alignment and registration of images that were acquired in succession along a spatial or temporal dimension.
openaire   +2 more sources

Improving Computer-Aided Thoracic Disease Diagnosis through Comparative Analysis Using Chest X-ray Images Taken at Different Times

Sensors
Medical professionals in thoracic medicine routinely analyze chest X-ray images, often comparing pairs of images taken at different times to detect lesions or anomalies in patients.
Sung-Nien Yu, Meng-Chin Chiu, Yu Ping Chang, Chi-Yen Liang, Wei Chen   +4 more
doaj   +1 more source

An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing

Remote Sensing, 2014
This paper describes the design and evaluation of an airborne multispectral imaging system based on two identical consumer-grade cameras for agricultural remote sensing.
Chenghai Yang, John K. Westbrook, Charles P.-C. Suh, Daniel E. Martin, W. Clint Hoffmann, Yubin Lan, Bradley K. Fritz, John A. Goolsby   +7 more
doaj   +1 more source

Alignment and mosaicing of non-overlapping images [PDF]

2012 IEEE International Conference on Computational Photography (ICCP), 2012
Image alignment and mosaicing are usually performed on a set of overlapping images, using features in the area of overlap for alignment and for seamless stitching. Without image overlap current methods are helpless, and this is the case we address in this paper.
Yair Poleg, Shmuel Peleg
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Image Registration Algorithm for Stamping Process Monitoring Based on Improved Unsupervised Homography Estimation

Applied Sciences
Homography estimation is a crucial task in aligning template images with target images in stamping monitoring systems. To enhance the robustness and accuracy of homography estimation against random vibrations and lighting variations in stamping ...
Yujie Zhang, Yinuo Du
doaj   +1 more source

Sensor-Fused Nighttime System for Enhanced Pedestrian Detection in ADAS and Autonomous Vehicles

Sensors
Ensuring a safe nighttime environmental perception system relies on the early detection of vulnerable road users with minimal delay and high precision. This paper presents a sensor-fused nighttime environmental perception system by integrating data from ...
Jungme Park, Bharath Kumar Thota, Karthik Somashekar   +2 more
doaj   +1 more source

Geometry-Based Global Alignment for GSMS Remote Sensing Images

Remote Sensing, 2017
Alignment of latitude and longitude for all pixels is important for geo-stationary meteorological satellite (GSMS) images. To align landmarks and non-landmarks in the GSMS images, we propose a geometry-based global alignment method.
Dan Zeng, Rui Fang, Shiming Ge, Shuying Li, Zhijiang Zhang   +4 more
doaj   +1 more source

An Augmented Reality System Using Improved-Iterative Closest Point Algorithm for On-Patient Medical Image Visualization

Sensors, 2018
In many surgery assistance systems, cumbersome equipment or complicated algorithms are often introduced to build the whole system. To build a system without cumbersome equipment or complicated algorithms, and to provide physicians the ability to observe ...
Ming-Long Wu, Jong-Chih Chien, Chieh-Tsai Wu, Jiann-Der Lee   +3 more
doaj   +1 more source

Automatic Change Detection System over Unmanned Aerial Vehicle Video Sequences Based on Convolutional Neural Networks

Sensors, 2019
In recent years, the use of unmanned aerial vehicles (UAVs) for surveillance tasks has increased considerably. This technology provides a versatile and innovative approach to the field.
Víctor García Rubio, Juan Antonio Rodrigo Ferrán, Jose Manuel Menéndez García, Nuria Sánchez Almodóvar, José María Lalueza Mayordomo, Federico Álvarez   +5 more
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Dual-Alignment CLIP: Task-Specific Alignment of Text and Visual Features for Few-Shot Remote Sensing Scene Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Convolutional neural networks (CNNs) are widely adopted for remote sensing image scene classification. However, labeling of large annotated remote sensing datasets is costly and time consuming, which limits the applicability of CNNs for real-world ...
Dongmei Deng, Ping Yao
doaj   +1 more source