Image segmentation remains an important, but hard-to-solve, problem since it appears to be application dependent with usually no a priori information available regarding the image ...
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
We compare three hierarchical structures, S15, C15, C19, that are used to steer a segmentation process in 3d voxel images. There is an important topological difference between C19...
A motion estimation algorithm for log-polar images, based on a previous general framework [2], is presented. The advantages and disadvantages brought by the use of this kind of fo...
The two major Markov Random Fields (MRF) based algorithms for image segmentation are the Simulated Annealing (SA) and Iterated Conditional Modes (ICM). In practice, compared to the...