C. Chesnaud et al., IMPROVEMENT IN ROBUSTNESS OF THE STATISTICALLY INDEPENDENT REGION SNAKE-BASED SEGMENTATION METHOD OF TARGET-SHAPE TRACKING, Optics letters, 23(7), 1998, pp. 488-490
We propose a technique to increase the robustness of a snake-based seg
mentation method originally introduced to track the shape of a target
with random white Gaussian intensity upon a random white Gaussian back
ground. Because these statistical conditions are not always fulfilled
with optronic images, we describe two improvements that increase the f
ield of application of this approach. We first show that regularized w
hitening preprocessing allows one to apply the original method success
fully for a target with a correlated texture upon a correlated backgro
und. We then introduce a simple multiscale approach that increases the
robustness of the segmentation against the initialization of the snak
e (i.e., the initial shape used for the segmentation). These results p
rovide a robust and practical method for determination of the referenc
e image for correlation techniques. (C) 1998 Optical Society of Americ
a.