Field delineation is an essential preliminary step for the design of management maps for grape production. In this paper, we propose a new algorithm for the segmentation of vine fields based on high-resolution remote sensed images. This algorithm takes into account the textural properties of vine images. It leads to the computation of a textural attribute on which a simple thresholding operation allows us to discriminate between vine field and non-vine field pixels. Our approach has been successfully tested on a wide range of vineyard images. A precise delineation of the field borders is obtained and the plot of interest is kept separate from the rest of the image.