Research And Application Of Image Edge Information Processing Technology

Edge is one of the basic characters of an image. Edge detection has been widely used in image processing, image analysis and computer vision, and it is the basis of them.So, Edge detection is always the hot and focus in the research field of digital image processing.There have been many algorithms proposed for the edge detection of images. But the existing theories and algorithms for edge detection still have some drawbacks and can not detect edges satisfactorily in some cases. It is hard to propose a general method of edge detection applied to all cases. Especially, images obtained from real-world scenes are generally buried in noise. Both edges and noise may be obtained in an attempt to detect edges from an image with a large amount of noise. How to detect edges reliably and accurately in the presence of noise has remained an important issue in the field of edge detection. So, it has been the focus of current research work to find new methods for edge detection with specific application requirements or to make improvements to existing methods. This thesis sets about research for need of project, in the process of designing fault polygon detecting system of coherence slice, knowing this system require to detect the figure of the Fault Polygon quickly and accurately, and get sequences of boundary points'parameters according to need. Considering the complexity fault distribution and noise influence of the coherence slice, this thesis intend to design suited algorithms and project to resolve practical problems, and get satisfied result.Firstly, the classic methods of image edge detection are introduced, the technique of linear filter and its application is discussed, and then Algorithm of Multi-scale Adaptive Edge Detection based on Canny theory is also researched, at the same time, compared with the characteristic of all kinds of methods on image edge detection by using theoretical analysis and simulated computation. Secondly, Image Preprocessing algorithms are researched in this thesis, and a improved algorithm for Images denoising while keeping edge information is proposed. Finally, on the basis, a boundary tracking and extracting algorithm of the complicated binary images is presented according to need, and a project applying all kinds of algorithm synthetically is designed for fault polygon detecting system of coherence slice. It is proved in practice that the project detects fault polygons successfully in the coherence slice. And the result indicates that the detected single-point edge has no fake edge, smooth and continuous, at the same time it has more abundant details of edges and has good localization. This system improves the efficiency and accuracy of fault interpretation and make the coherence technique play a important role in 3D data interpretation. The practical application showed that coherence slice fault polygon detecting system is a very efficient tool for the whole 3D data interpretation and it reduces the cycle of 3D data interpretation.