A novel fuzzy edge detection of seismic images based on bi-level maximum entropy thresholding

被引：1
|
作者：
Singh, Sanjay Kumar [1 ]
Pal, Kirat [1 ]
Nigam, M. J. [2 ]
机构：
[1] Indian Inst Technol Roorkee, Roorkee 247667, Uttar Pradesh, India
[2] Indian Inst Technol Roorkee, Elect & Comp Engn Dept, Roorkee 247667, Uttar Pradesh, India
来源：
INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING | 2010年 / 3卷 / 03期
关键词：
digital image processing; computer vision; edge detection; image thresholding; image segmentation; fuzzy probability; fuzzy partition; fuzzy entropy; fuzzy edge detection; fuzzy image processing; seismology; seismic image processing;
D O I：
10.1504/IJSISE.2010.036889
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The study of edge detection techniques in earthquake engineering is extremely important for recognition of seismic faults in the viewpoint of disaster prevention. Further, Seismic datasets are huge (several terabytes), redundant and complex. Hence, cost increases to large extent for storage and transmission against the limited memory and bandwidth. This paper presents a novel fuzzy edge detection technique of seismic images based on bi-level maximum entropy thresholding principle. Seismic edge images are obtained based on the concept of fuzzy conditional probabilities, fuzzy partition and adaptively searching the two-level optimal threshold through maximum fuzzy entropy of seismic gradient images.
引用
收藏
页码：169 / 178
页数：10
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