Analysis of Multiscale Line Filter Responses

The measures of similarity to the local structures have been introduced based on the ideal local structures with an isotropic Gaussian cross section shown in Eqs. (10.12)-(10.14). To examine the effects of parameters involved in the

Figure 10.7: Visualization of lung nodule and vessel from CT data (Color Slide). (a) Original CT slice image. (b) Volume rendered images of nodules (green), vessels (red), lung (violet), and bone (white) tissues. Left: Using only original images. Right: Using original, blob-filtered, and line-filtered images. (( 2004 IEEE).

Figure 10.7: Visualization of lung nodule and vessel from CT data (Color Slide). (a) Original CT slice image. (b) Volume rendered images of nodules (green), vessels (red), lung (violet), and bone (white) tissues. Left: Using only original images. Right: Using original, blob-filtered, and line-filtered images. (( 2004 IEEE).

multiscale enhancement filters, simulation experiments were performed using synthesized images. In this section, the effects of parameter y23, initial scale a0, and scale factor s are presented based on simulations using a line model with an elliptic cross section. The effects of parameters y12 and a are not presented here. Simulation experiments are presented in [7] to analyze the effects of parameters y12, and a using curved and branched line models.

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