Abstract
Microscopy has enormous applications in both medical and non-medical fields. This has gained interest of many researchers in the field of digital image processing to develop algorithms and applications helping in improving their observation and analysis. Here, novel method called ‘μMosaicing’ (read as Micro-Mosaicing) is introduced to create mosaics of microscopic images from a video sequence to obtain large view, high resolution images of specimen. A thermal camera forms images by sensing the infrared radiations from an object. High resolution thermal images can be used to determine temperatures in detailed thermal analysis. However, the cost of thermal camera increases with their resolution. While, thermo-graphy plays an important role in the diagnosis of various diseases, high resolution large field of view images will be certainly helpful in diagnosis and treatment. So a new approach to create mosaics of thermal images from video sequence, called ‘Thermo-Mosaicing’, is proposed which can find wide applications in medical field. Both, μ-Mosaicing and Thermo-Mosaicing employ Key Frame Selection Algorithm, Image Matching using Normalized Cross Correlation (NCC), Image Stitching using 3-point Mask Blending Algorithm and Image In-painting.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
