Abstract
The problem considered in this paper is the automatic microscopic image mosaicing. In this paper, invariant local features based on normalized moment of inertia are used to select matching points and calculate the translation. This algorithm consists of feature detection, feature registration and spatial transition. The experimental results with more than 100 clinical medical images in different categories demonstrate this algorithm is fast, effective and does not require human interaction.
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Lu, F., Xia, S. (2007). Microscopic Image Mosaicing Algorithm Based on Normalized Moment of Inertia. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_113
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DOI: https://doi.org/10.1007/978-3-540-74282-1_113
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74281-4
Online ISBN: 978-3-540-74282-1
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