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Proceedings Paper

The algorithm stitching for medical imaging
Author(s): E. Semenishchev; V. Marchuk; V. Voronin; M. Pismenskova; I. Tolstova; I. Svirin
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Paper Abstract

In this paper we propose a stitching algorithm of medical images into one. The algorithm is designed to stitching the medical x-ray imaging, biological particles in microscopic images, medical microscopic images and other. Such image can improve the diagnosis accuracy and quality for minimally invasive studies (e.g., laparoscopy, ophthalmology and other). The proposed algorithm is based on the following steps: the searching and selection areas with overlap boundaries; the keypoint and feature detection; the preliminary stitching images and transformation to reduce the visible distortion; the search a single unified borders in overlap area; brightness, contrast and white balance converting; the superimposition into a one image. Experimental results demonstrate the effectiveness of the proposed method in the task of image stitching.

Paper Details

Date Published: 26 May 2016
PDF: 8 pages
Proc. SPIE 9870, Computational Imaging, 98700M (26 May 2016); doi: 10.1117/12.2224422
Show Author Affiliations
E. Semenishchev, Don State Technical Univ. (Russian Federation)
V. Marchuk, Don State Technical Univ. (Russian Federation)
V. Voronin, Don State Technical Univ. (Russian Federation)
M. Pismenskova, Don State Technical Univ. (Russian Federation)
I. Tolstova, Don State Technical Univ. (Russian Federation)
I. Svirin, CJSC Nordavind (Russian Federation)

Published in SPIE Proceedings Vol. 9870:
Computational Imaging
Abhijit Mahalanobis; Kenneth S. Kubala; Amit Ashok; Jonathan C. Petruccelli; Lei Tian, Editor(s)

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