In texture analysis, the extraction of features from a textured region is generally related to a surface element. The aim of this paper is to introduce a new method using a line element instead of a surface element and to use the corresponding texture features extracted for the segmentation of textured images. First we extract the lines of the initial image, either by the means of an edge detection method, or by a segmentation method based on regions, followed by a thinning operation. Next the texture features are extracted from the lines : these features are line primitives such as terminal points, intersections between lines, "middle" points (points which are neither terminal points nor intersection points), critical points (inflexion, high curvature) and also line segments and their associated measures : length, orientation, contrast. The components of the feature vector characteristic of the texture on a [-N,+N]*[-N,+N] neighbourhood is then defined as the number of occurrence of each primitive on this neighbourhood. The last stage in order to obtain the boundaries consists in defining a distance measuring the difference between feature vectors and in detecting the points where the distance between vectors is higher than a threshold.