The mosaicing technique has been employed in more and more application fields, from entertainment to scientific ones. In the latter case, often the final evaluation is still left to human beings, that assess visually the quality of the mosaic. Many times, a lack of objective measurements in microscopic mosaicing may prevent the mosaic from being used as a starting image for further analysis. In this work we analyze three different metrics and indexes, in the domain of signal analysis, image analysis and visual quality, to measure the quality of different aspects of the mosaicing procedure, such as registration errors and visual quality. As the case study we consider the mosaicing algorithm we developed. The experiments have been carried out by considering mosaics with very different features: histological samples, that are made of detailed and contrasted images, and live stem cells, that show a very low contrast and low detail levels.

A. Bevilacqua, A. Gherardi, F. Piccinini (2010). Quantitative quality assessment of microscopic image mosaicing. s.l : s.n.

Quantitative quality assessment of microscopic image mosaicing

BEVILACQUA, ALESSANDRO;GHERARDI, ALESSANDRO;PICCININI, FILIPPO
2010

Abstract

The mosaicing technique has been employed in more and more application fields, from entertainment to scientific ones. In the latter case, often the final evaluation is still left to human beings, that assess visually the quality of the mosaic. Many times, a lack of objective measurements in microscopic mosaicing may prevent the mosaic from being used as a starting image for further analysis. In this work we analyze three different metrics and indexes, in the domain of signal analysis, image analysis and visual quality, to measure the quality of different aspects of the mosaicing procedure, such as registration errors and visual quality. As the case study we consider the mosaicing algorithm we developed. The experiments have been carried out by considering mosaics with very different features: histological samples, that are made of detailed and contrasted images, and live stem cells, that show a very low contrast and low detail levels.
2010
ICBSE 2010 Proceedings
258
261
A. Bevilacqua, A. Gherardi, F. Piccinini (2010). Quantitative quality assessment of microscopic image mosaicing. s.l : s.n.
A. Bevilacqua; A. Gherardi; F. Piccinini
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/94026
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