Application of linear-scale differential analysis in phase correlation method of image stitching

Vitalii V. Bezzubik; Nickolai R. Belashenkov; Sergei V. Losev

doi:10.1117/12.2218570

9 March 2016 Application of linear-scale differential analysis in phase correlation method of image stitching

Vitalii V. Bezzubik, Nickolai R. Belashenkov, Sergei V. Losev

Proceedings Volume 9713, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIII; 97130M (2016) https://doi.org/10.1117/12.2218570
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

A robust method of creation of panoramic images which does not consume much processing resources is proposed and investigated. The phase correlation (PC) method is taken as a basic one because of simplicity of its algorithm and low computing time due to application of FFT technique. Standard PC procedure is modified by preprocessing of source frames of panoramic images in spatial domain. Preprocessing comprises Linear-Scale Differential Analysis (LSDA) with sequent content-dependent thresholding of intensity gradients. Method is proved for artificially blurred and noise corrupted images. It is shown that new robust algorithm allows to increase the productivity of creation of panoramic images keeping the probability of successive stitching close to maximum even for low-quality source frames.

Citation Download Citation

Vitalii V. Bezzubik, Nickolai R. Belashenkov, and Sergei V. Losev "Application of linear-scale differential analysis in phase correlation method of image stitching", Proc. SPIE 9713, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIII, 97130M (9 March 2016); https://doi.org/10.1117/12.2218570

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KEYWORDS

Panoramic photography

Image processing

Digital imaging

Imaging systems

Silicon

Statistical analysis

Digital image correlation

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