Figure 4
From: Building detection from urban SAR image using building characteristics and contextual information
Segmentation results of a simulated image using the watershed transform over the initial edge strength image and modified edge strength image; (a) simulated image with four objects in it; (b) manually extracted external and internal markers; (c) binary image of markers; (d) edge strength image by the ROEWA detector; (e) gray-level profile through Row 78 in (d); (f) result of applying the watershed segmentation algorithm to (d); (g) modified edge strength image by the minima imposition technique; (h) gray-level profile through Row 78 in (g); (i) result of applying the watershed segmentation algorithm to (g). In (e) and (h), p A and p B represent the edge strength peaks corresponding to boundaries of objects A and B. fp B represents the false peaks caused by gray-level fluctuation in object B. e m and i m represent external markers and internal markers, respectively.