DocumentCode
2029648
Title
Detecting straight edges in millimeter-wave images
Author
Lakshmanan, Sridhar ; Jain, Anil K. ; Zhong, Yu
Author_Institution
Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA
Volume
1
fYear
1995
fDate
23-26 Oct 1995
Firstpage
258
Abstract
This paper presents two new methods for detecting edges in millimeter-wave radar images. The first method is based on a deformable template model of edge shapes and a random field model of the millimeter-wave imaging process. The second method is similar to the first, except that the imaging model component is replaced by one that is based on the magnitude and direction of the image gradient. Experimental results are shown to illustrate the advantages of using these methods over traditional edge detectors
Keywords
edge detection; millimetre wave imaging; radar imaging; random processes; deformable template model; image gradient; millimeter-wave images; millimeter-wave imaging; radar images; random field model; straight edges; Computer science; Deformable models; Detectors; Digital images; Image edge detection; Image processing; Millimeter wave radar; Millimeter wave technology; Radar detection; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1995. Proceedings., International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-8186-7310-9
Type
conf
DOI
10.1109/ICIP.1995.529695
Filename
529695
Link To Document