Title :
Robust extraction of low contrast edges using clustering-based segmentation and refinement
Author :
Lai, G.C. ; de Figueiredo, R.J.P.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
Abstract :
This paper further explores the concept of line-support regions for extracting edges from low contrast images. The current method obtains the support regions by using clustering-based segmentation and refines the support regions by using split and merge techniques. Alternative methods for fitting line to cluster are presented.
Keywords :
edge detection; feature extraction; image segmentation; pattern clustering; clustering-based segmentation; edge extraction; line-support regions; low contrast edges; low contrast images; robust extraction; split and merge techniques; support regions refinement; Detectors; Electrons; Image edge detection; Image segmentation; Laboratories; Machine intelligence; Merging; Pixel; Poles and towers; Robustness;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.822986
