Title :
Robust boundary detection for skin lesions
Author :
Denton, W.E. ; Duller, A.W.G. ; Fish, P.J.
Author_Institution :
Sch. of Electron. Eng. & Comput. Syst., Univ. of Wales, Bangor, UK
Abstract :
Standard edge detectors for skin lesion boundary detection have serious shortcomings. Those giving sufficiently detailed borders are sensitive to image noise including spurious small scale structure and those tolerant of noise involve low-pass filtering which loses border detail. Edge focusing allows accurate lesion boundary detection whilst being insensitive to image noise
Keywords :
edge detection; feature extraction; filtering theory; image segmentation; image texture; mathematical morphology; medical image processing; skin; accurate lesion boundary detection; edge detectors; edge focusing; image noise; low-pass filtering; robust boundary detection; skin lesions; spurious small scale structure; Detectors; Focusing; Hair; Image edge detection; Large-scale systems; Lesions; Low pass filters; Robustness; Shape measurement; Skin;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575173
