Computational and Mathematical Methods in Medicine / 2014 / Article / Fig 1

Research Article

Gastroscopic Image Graph: Application to Noninvasive Multitarget Tracking under Gastroscopy

Figure 1

Five tested method registration results. From (a) to (f), the registration methods were applied to original gastroscopic and noise images (the Gaussian noise scalar varies from 0.01 to 0.5). For each registration method, the initial detected feature number was 200; thus, the ideal matching features’ number was also 200. In the figures, the color curves represent the number of the detected features whose FB error is smaller than the corresponding FB error threshold (unit: pixels).
(a) Original images
(b) Gaussian scalar = 0.01
(c) Gaussian scalar = 0.05
(d) Gaussian scalar = 0.1
(e) Gaussian scalar = 0.2
(f) Gaussian scalar = 0.5

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