关键词: 道路提取, 图像分割, 空间信息模糊C均值（FCM）模型, 纹理分析

Abstract: Taking into account the shape of a road and the characteristics of gray value variation on roads’ surfaces，a new strategy is given for high resolution remotely sensed images.By comparing the consistency of gray value and one dimensional texture in different directions，the most consistent direction at every pixel is found.The responses of a group of Gabor filters together with the variance indicating the consistency in this direction consist of the feature vector.Starting from a pixel a short line segment along the most consistent direction at this point can be drawn，and all the pixels lying on this short line are defined as the neighbor of the point.With the aid of the newly defined neighbor an improved spatial FCM segmentation model is obtained.Experiments demonstrate that the proposed method can extract roads from other targets in high resolution images more efficiently than some commonly used algorithms.

Key words: road extraction, image segmentation, spatial fuzzy C-means model, texture analysis