Research and Application of Image Edge Information Processing Technology
|School||Daqing Petroleum Institute|
|Course||Applied Computer Technology|
|Keywords||Edge Detection Boundary tracking Image preprocessing Adaptive Coherent slice|
Edge is the most basic features of the image . Edge detection has a wide range of applications in the field of image recognition, image segmentation, image enhancement , and image compression , their base , and the focus of research in the field of digital image processing . A number of methods have been proposed in the field of edge detection , but in view of the differences in the characteristics of the analyzed image , the edge detection algorithm performance a great deal of mutual heterosexual , so far no single recipe can be adapted to all images . In particular, the actual processing of the image is generally mixed with noise, and how to eliminate the noise of the pseudo- edge , and at the same time guarantee that the edge positioning accuracy of edge detection need to be addressed an important issue . Therefore , there is a need for a new edge detection method according to the design of the specific application , or on existing methods improved in order to obtain a satisfactory edge detection result . For coherent slice the polygonal fault detection system research and development topics , the system need to have a coherent slice of complex fault distribution and strong noise accurately and quickly extract the fault polygon , and save the sequence of boundary parameters , we design algorithms and programs for project requirements and get better detection results . The paper studies the classic image edge detection method , linear filtering technology and its application in image edge detection , based on the the Canny algorithm of adaptive multi -scale edge detection methods , and by theoretical analysis and simulation calculation compares the various algorithms image edge Detection advantages and disadvantages . Second, the image edge detection preprocessing algorithm , improved filtering algorithm preserve edges details . Finally, on this basis , the project needs a complex binary image boundary tracking and extraction algorithm will improve and proposed algorithm is applied to the project, designed to achieve a coherent slice tomography polygon detection system . Verified by practice : the system detects a fault polygon accurate positioning , continuous , smooth, rich edge detail , showed a single -pixel-wide border . The system detection results to obtain a good three-dimensional interpretation of oilfield seismic exploration applications , and to improve the accuracy and efficiency of the fault detection .