Interest point detection in images based on topology structure features of directed complex network

Interest point detection is one of the key technologies in image processing and target recognition. This paper presents a new method for detecting interest points in digital images and computer vision problems based on complex network theory. We associate a directed and weighted complex network model to each image and then we propose three different algorithms to locate these key points based on three topological features of image complex network model, which are degree, closeness and betweenness.