Novel Optical Endoscopes for Early Cancer Diagnosis and Therapy by Dale Jonathan Waterhouse

Author:Dale Jonathan Waterhouse
Language: eng
Format: epub, pdf
ISBN: 9783030214814
Publisher: Springer International Publishing

Fig. 3.12Example corrected monochrome images. a Region of an image of a USAF test chart element used to determine resolution. b Image of white reflecting target (paper) used to determine smoothness. c Image of AF647 used to determine signal

Similar trends are observed for performance of corrections in experimental image data (Fig. 3.11) and in simulated image data (Figs. 3.9 and 3.10). The main difference between simulation and experiment is that interpolation appears to achieve an enhanced resolution score in experimental data compared to simulated data, suggesting the noise component of simulated data may have been slightly overestimated. Overestimation of the noise component would disproportionately degrade the performance of interpolation relative to the other correction methods; it is more susceptible to noise as it relies on data from a single pixel per fibrelet.

The results from the monochrome data corrections are summarised in Fig. 3.11. For preservation of resolution and signal, interpolation clearly provides the optimal solution. If image smoothness is our only priority, Gaussian filtering is preferred. Otherwise, Fourier-filtering provides a compromise between smoothness and resolution.

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