期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B8
页码：126-129
出版社：Copernicus Publications
摘要：Edge detection is one of the most frequently used techniques in digital image processing. Its application area reaches from astronomy to medicine where isolation of objects focused on from the unwanted background is of great interest. Edge detection has also found application for photogrammetric purposes. In this study, edge detection has first been practiced on stratigrafic structures, which are crucial to geologic time scaling, using digitized images from an analog non-metric camera. The raw images have been low pass filtered in order to suppress the huge amount of unnecessary details. Four types of methods have been used and intercompared with each other. One of the problems encountered is long processing times due to gradient operations in both directions on the images. Natural layering of structure has been exploited in order to reduce computing time. Edge detection followed then from single direction. Taking over close grey values of linear edges with the non-required background leads to unclear detection of edges. Another practice of this study is to extract the faults in the western part of the north Anatolian Fault Zone on a digitized image taken by TK350 camera. A comparison of extracted details with geological maps has been undertaken. Here, the biggest problem is that the faults can be misidentified as geomorphological formations. Hydrological attributes such as streams, water lines, etc. exhibit same characteristics as with the faults. The joint problem of both applications is the quantization of linear details via dilatation. Automation is the last step of the entire edge detection process and has been still a difficult task
