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Résumé : Over the last three decades, the introduction of digital technologies in the field of architectural documentation has profoundly changed the tools and acquisition techniques. Most of the developments concerns metrical and colorimetric characteristics of the objects studied. These developments surrounding the practice of architectural survey tend to respond primarily to the requirements of completeness. In this context, it seems necessary to assess the impact of these instruments on the cognitive value of architectural representation. With a strong technological presence, the study of the built heritage is facing a problem of "overload" of information. Indeed, it fails to strengthen the representation in its role as vehicle of knowledge. Confronted with the intelligibility deficit, this article offers methodological avenues based on a "bottom up" approach. The idea is to rely on data accumulation in order to emerge low-level geometric characteristics. Although there are solutions to enrich the architectural representation with a pre-structured knowledge of the “field” ("top down" approach), this work shows that it can be completed by a geometrical description based on the study of similarities. The use of image analysis tools and statistical analysis makes possible to consider an approach where the meaning of the elements comes from a "free" estimation of the shape. Based on an observation of the columns of the cloister of the abbey of Saint-Michel Cuixa, this research shows how the semantic articulations emerge from the estimation of geometric similarities. Finally, the creation of common morphological signatures from a set of elements opens perspectives for shapes classification, and consequently, for the study of propagation of stylistic trends (in time and space). This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.