Research And Implementation Of Image Edge Detection Based On Regional Features

In image processing, the 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. Especially, images obtained from real-world scenes are generally buried in noise, have no closed curves and the target have public points. 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. The image edge detection based on regional features have been gradually applied to the actual image processing, and shown that it is superior to the traditional algorithm. This thesis sets about research for need of project, in the process of designing fault polygon automatic extraction interactive system of coherence slice and TO figure, knowing this system require to detect the figure of the Fault Polygon and TO figure quickly and accurately, and get sequences of boundary points'parameters according to need, and deal with the zigzag larger polygon automatically smooth. Considering the complexity fault distribution and noise influence of the coherence slice and TO figure, this thesis first proposes the seismic image edge detection based on regional features and projects to resolve practical problems, and get satisfied result.Firstly, the classic methods of image edge detection and tracking are introduced, the technique of linear filter and its application is discussed, at the same time, compared with the characteristic of all kinds of methods on image edge detection and tracking by using theoretical analysis and simulated computation. Secondly, Image Preprocessing algorithms of edge detection are researched in this thesis, and images traditional algorithms of edge tracking are analysed, and a improved algorithm for images edge tracking combines with regional features; the traditional smoothing algorithm is complemented and improved, it gets the edge profile smoothly, and makes the processing of fault polygon smoothing lossless and efficient. 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 automatic extraction interactive system. 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 makes 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.