Though most approaches to protein comparison are based on their structure, several studies produced evidence of a strict correlation between the surface characteristics of proteins and the way they interact. Surface-based techniques for protein comparison typically require applying clustering algorithms to the punctual 3D description of the surface in order to produce a compact surface represen...

With the amount of multitemporal and multiresolution images growing exponentially, the number of image segmentation applications is recently increasing and, simultaneously, new challenges arise. Hence, there is a need to explore new segmentation concepts and techniques that make use of the temporal dimension. This paper describes a spatio-temporal segmentation that adapts the traditional region...

algorithms or region growing are well-known, but they are In this paper we address the problem of ultrasound volume data segtnentation by means of active contours. The segmentation is performed on an slic~by-slice basis but exploiting the high correlation that exists across nearby slices. We have used active rays to alleviake the computational load of the optimization process. Classical energy ...

A lot of techniques have been developed for the encoding of triangular meshes as this is a widely used representation for the description of surface models. Although methods for the encoding of the neighbor information, the connectivity, are near optimal, there is still room for better encodings of vertex locations, the geometry. Our geometry encoding strategy follows the predictive coding para...

Blood vessel segmentation from the retinal images is extremely important for assessing retinal abnormalities. A good amount of research has been reported on blood vessel segmentation, but significant improvement is still a necessity particularly on minor vessel segmentation. As the local contrast of blood vessels is unstable (intensity variation), especially in unhealthy retinal images, it beco...

I n this paper we present a n approach, to image segmentation in which user selected sets of examples and counter-examples supply information about the specific segmentation problem. Image segmentation is guided by a genetic algorithm which learns the appropriate subset and spatial combination of a collection of discriminating functions, associated with image features. The genetic algorithm enc...

This paper deals with merging techniques that can be used as lters or as segmentation algorithms In the rst case they are known as connected operators and in the second case they are region growing techniques This paper discusses the basic issues of a merging algorithm merging order merging criterion and region model This analysis highlights the similarity and dif ferences between a ltering too...

In this paper, an approach based on lacunarity to locate address blocks in postal envelopes is proposed. After computing the lacunarity of a postal envelope image, a non-linear transformation is applied on it. A thresholding technique is then used to generate evidences. Finally, a region growing is applied to reconstruct semantic objects like stamps, postmarks, and address blocks. Very little a...

This paper presents a technique for the segmentation of range images. It tends to be a hybrid approach that combines edge detection and region growing techniques toward accomplishing the task of segmentation. The surface coherency property of range data provided an important attribute, .;rhich enabled the improvision of extrinsic knowledge regarding the types of surface primitives existing with...