Edge Detection of High Resolution Image Introducing Spatial Relationship

Generally, traditional edge detection methods don't consider the spatial relationship between the adjacent image areas to extract the edges. For the traditional algorithm insufficiency, this paper purposes a novel edge detection algorithm by introducing spatial relationship. This method can be divided into three main steps: firstly, a measure of similarity between pair wise pixels is taken into account by orientation energy. Then, the spatial relationship is needed to find regions where similarity between pixels in a given region is high and similarity between pixels in different regions is low. After that, edge detection is completed with spectral clustering method. Using IKONOS image, the experimental results show that the edge detection method of this paper gained ideal result.