Skeleton is a powerful method to describe binary images. Although there are different possibilities to define a skeleton, is very common to use morphological skeleton because it is easy and fast for implementation purposes. ...

This paper presents a prediction technique for partition sequences. It uses a region-by-region approach that consists of four steps: region parameterization, region prediction, region ordering, and partition creation. The ...

A new computerized methodology is described in which detection and tracking of human spermatozoa in semen are analized using a personal computer. Several aproaches are studied in order to quantify the number of spermatozoa ...

This paper addresses the problem of image sequence segmentation. A technique using a sequence model based on compound random fields is presented. This technique is recursive in the sense that frames are processed in the ...

This chapter presents a method for caption text detection. The proposed method will be included in a generic indexing system dealing with other semantic concepts which are to be automatically detected as well. To have a ...

A coding oriented image segmentation algorithm is presented. This new method is based on Gibbs-Markov Random Fields (GMRF) for contourn information, a stationary gaussian model for region interna! information, and a ...

Aquest material didàctic de caràcter experimental s'adreça a aquells alumnes que s'introdueixen en l'estudi dels senyals i els sistemes analògics tant en el domini temporal com en el de freqüència. Els seus continguts han ...

A novel approach for unsupervised image segmentation is described. This approach makes use of a Gaussian pyramid as multiresolution decomposition to analyze images. Compound random fields are used to model images at each ...

This work deals with the use of previous or colateral information to improve the behaviour of adaptive algorithms. The study is made on gradient-based methods due to the relatively simple and good performances that they ...