Posted by: xpertnest Category: AI & ML, Success Stories Comments: 0 Post Date: March 24, 2020 xpertnest2020-03-24T06:01:11+00:00 Challenges A US company needed to stitch together microscopic images for deployment on an Android application.The images had uniform backgrounds and to some extent a uniform foreground too, requiring a robust algorithm to detect edges and stitch connections. Xpertnest’s Solutions Xpertnest developed an automated microscope that generated a grid of partially overlapping images.Created an algorithm that could match the features of neighbouring images whether rotated, scaled, or translated.Used the algorithm to stitch hundreds of overlapped image tiles to create a mosaic image Compute the translation of neighboring images Estimate image overlap and computer camera angle Replace computed translation with high uncertainty with estimated median value Optimize all translations Assemble stitched image using minimum spanning tree Value Delivered The application conducted time-lapse studies of cell cultures.Differently exposed images were transformed into a single exposure image, improving visual analysis.Image stitching can be carried out using desktop or a mobile application. Author xpertnest Leave a Reply Cancel replyYour email address will not be published. Required fields are marked *Comment * Name * Email * Website Save my name, email, and website in this browser for the next time I comment.
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