Automatic segmentation of anatomical structures is often performed using model-based non-rigid registration methods. These algorithms work well when the images do not contain any ...
This paper describes a technique for generating partition sequences of regions presenting long-term homogeneity in color and motion coherency in terms of affine models. The techni...
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
In this paper, along with recent trends in segmentation using multiple image cues, we examine the integration of modulation texture features, image contrast and region size for de...