Centre De Morphologie Mathematique
نویسندگان
چکیده
The aim of this paper is to present a general methodology based on multispectral mathematical morphology in order to segment multispectral images. The methods consists in computing a probability density function pdf of contours conditioned by a spectral classification. The pdf is conditioned through regionalized random balls markers thanks to a new algorithm. Therefore the pdf contains spatial and spectral information. Finally, the pdf is segmented by a watershed with seeds (i.e. markers) coming from the classification. Consequently, a complete method, based on a classificationdriven stochastic watershed is introduced. This approach requires a unique and robust parameter: the number of classes which is the same for similar images. Moreover, an efficient way to select factor axes, of Factor Correspondence Analysis (FCA), based on signal to noise ratio on factor pixels is presented.
منابع مشابه
Influence of Wet and Dry Season on Milk Composition of Dromedary Camels (Camelus dromedarius) from Tunisia
This study investigated the effect of season (wet and dry) on milk composition of the dromedary camel (Camelus dromedarius). Milk samples representing the wet and dry seasons were analyzed for total solids (TS), fat (F), solids-non-fat (SNF), ash, crude protein (CP), nitrogen soluble at pH 4.6 (SN), mineral content (MC) and casein fraction (CnF). Camel milk had higher (P
متن کاملDeux approches pour la comparaison de relations spatiales floues. Transport optimal et morphologie mathématique
RÉSUMÉ. Les relations spatiales sont au cœur de beaucoup de méthodes d’interprétation de scènes à l’aide d’informations structurelles. Lorsque ces scènes sont analysées par comparaison avec un modèle, ou lorsqu’elles sont dynamiques et que l’on s’intéresse à leur évolution, il faut alors développer des outils pour comparer des relations spatiales, souvent exprimées ou connues de manière impréci...
متن کامل