We present a graph-based contour extraction algorithm for images with low contrast regions and faint contours. Our innovation consists of a new graph setup that exploits complementary information given by region segmentation and contour grouping. The information of the most salient region segments is combined together with the edge map obtained from the responses of an oriented filter bank. Thi...

The high geostress and complex geological structure of underground powerhouse at Yebatan Hydropower Station frequently result in surrounding rock failure which delay construction schedule. Based on the microseismic monitoring technique, activity characteristics is analyzed under excavation disturbance intersection area shaft 2# drainage gallery. results show that events are concentrated rock, c...

In this paper we present a method which progresses towards automatically generating the texture maps for the building façades of an existing coarse three dimensional urban model. Rather than focusing on a method for achieving the exact texture map the algorithm creates two texture maps. These represent the building façade’s wall material and building features, such as windows and doors. The pap...

ÐImage editing systems are essentially pixel-based. In this paper, we propose a novel method for image editing in which the primitive working unit is not a pixel but an edge. The feasibility of this proposal is suggested by recent work showing that a gray-scale image can be accurately represented by its edge map if a suitable edge model and scale selection method are employed [1]. In particular...

Self-affine maps were successfully used for edge detection, image segmentation, and contour extraction. They belong to the general category of patch-based methods. Particularly, each self-affine map is defined by one pair of patches in the image domain. By minimizing the difference between these patches, the optimal translation vector of the self-affine map is obtained. Almost all image process...

In many medical image segmentation applications identifying and extracting the region of interest (ROI) accurately is an important step. The usual approach to extract ROI is to apply image segmentation methods. In this paper, we focus on extracting ROI by segmentation based on visual attended locations. Chan-Vese active contour model is used for image segmentation and attended locations are det...

Structures that can detect the shapes in images in a flexible manner are widely used today. Active contour model, which is one of these structures, is an important model. This model aims to surround the shape with points and to enable these points to fit into the shape. However, since Active Contour Model contains energy minimization, it requires long working time. Scaling based model developed...