In order to extend the field of pattern segmentation applications and to improve the accuracy of the pattern segmentation processes, we propose to use several criteria linked to a local spatiocolor analysis. Indeed, it is proved that spatial interactions between adjacent pixels play an important role in pattern analysis. Consequently, we must take into account the spatial distribution of color information to obtain a relevant pattern segmentation. With such informations it becomes easier to deal with the aspect of local color similarity and dissimilarity between spatial adjacent colors. These two notions may be used to characterize each pattern independently of their surrounding patterns. In that way, we can use a local analysis based on the neighborhood of each pixel of the pattern under study, provided this neighborhood is restricted to the spatiocolor distribution of this pattern. >
['Alain Tremeau', 'Bernard Laget']
A local spatiocolor analysis applied to pattern segmentation