Back to articles
Articles
Volume: 28 | Article ID: art00011
Image
Image stitching by means of adaptive normalization
  DOI :  10.2352/ISSN.2470-1173.2016.15.IPAS-184  Published OnlineFebruary 2016
Abstract

Image stitchingthe process of amalgamation of separate image fragments to form a complete representation of the entire scenemight become quite a challenging problem in the presence of non-additive noises and/or brightness variability artifacts. An additional degree of complication may further be inflicted in situations when one is dealing with large size data, as it is usually the case in tiling microscopy. To overcome such difficulties, a novel approach to the problem of image stitching is proposed here. In the heart of the proposed solution is Wallis filtering, which is a standard tool of image processing used for adaptive contrast adjustment and local image normalization. More importantly, Wallis filtering allows representing a given image in terms of its normalized version and associated local statistics. Subsequently, we show that stitching the output of the Wallis filter is a much simpler and much more stable task as compared to stitching the images in their original domain. The proposed method has an additional advantage of being computational efficient, which is particularly important in tiling microscopy, where a typical height/width of data images is on the order of tens of thousands of pixels.

Subject Areas :
Views 2
Downloads 1
 articleview.views 2
 articleview.downloads 1
  Cite this article 

Oleg V Michailovich, "Image stitching by means of adaptive normalizationin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Processing: Algorithms and Systems XIV,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.15.IPAS-184

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA