Image mosaicing has found a number of applications such as panoramic imaging, digital terrain mapping, ophthalmology and virtual microscopy. In this study, we present an automated mosaicing technique for generating virtual slides from microscope images. We carried out robust image feature matching and global geometric and radiometric parameter estimation. The input images were transformed using the estimated geometric and radiometric parameters and mosaiced together, producing accurate registration of overlapping regions without visible seams.
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http://dx.doi.org/10.1111/j.1365-2818.2006.01687.x | DOI Listing |
Ann Anat
February 2025
Department of Surgery, Faculty of Veterinary Medicine, Kafkas University, Kars 36100, Türkiye.
Background: Morphological growth naturally progresses with age; however, the rate of growth varies across different parts of an organism, with certain structures developing more rapidly than others. This study aimed to analyze and compare the skull development of red foxes (Vulpes vulpes) during two specific developmental stages: the 3rd and 6th months, which represent distinct growth phases in their early ontogeny.
Methods: In this study, we aimed to analyze and compare skull development in red foxes (Vulpes vulpes) during two specific post-natal time points: the 3rd and 6th months.
Rev Sci Instrum
December 2024
Institut de Physique du Globe de Paris, CNRS-Université Paris-Cité, Paris 75005, France.
Rev Sci Instrum
December 2024
Institute of Planetary Research, German Aerospace Center (DLR), Rutherfordstr. 2, 12489 Berlin, Germany.
Comet 67P/Churyumov-Gerasimenko (hereafter 67P) was the primary target of ESA's Rosetta mission. Hyperspectral images acquired by the Mapping channel of the Visible and InfraRed Thermal Imaging Spectrometer aboard Rosetta can be used to derive physical and compositional surface properties by detailed spectrophotometric analyses. This calls for a precise spatial co-registration between measurements and geometry information.
View Article and Find Full Text PDFPLoS One
October 2024
Southern Regional Centre, Zoological Survey of India, Chennai, Tamil Nadu, India.
The utilization of satellite images in conservation research is becoming more prevalent due to advancements in remote sensing technologies. To achieve accurate classification of wildlife habitats, it is important to consider the different capabilities of spectral and spatial resolution. Our study aimed to develop a method for accurately classifying habitat types of the Himalayan ibex (Capra sibirica) using satellite data.
View Article and Find Full Text PDFIEEE Trans Image Process
October 2024
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