Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes
- 2 February 2005
- journal article
- research article
- Published by Wiley in Skin Research and Technology
- Vol. 11 (1), 17-26
- https://doi.org/10.1111/j.1600-0846.2005.00092.x
Abstract
Background: Malignant melanoma has a good prognosis if treated early. Dermoscopy images of pigmented lesions are most commonly taken at × 10 magnification under lighting at a low angle of incidence while the skin is immersed in oil under a glass plate. Accurate skin lesion segmentation from the background skin is important because some of the features anticipated to be used for diagnosis deal with shape of the lesion and others deal with the color of the lesion compared with the color of the surrounding skin. Methods: In this research, gradient vector flow (GVF) snakes are investigated to find the border of skin lesions in dermoscopy images. An automatic initialization method is introduced to make the skin lesion border determination process fully automated. Results: Skin lesion segmentation results are presented for 70 benign and 30 melanoma skin lesion images for the GVF‐based method and a color histogram analysis technique. The average errors obtained by the GVF‐based method are lower for both the benign and melanoma image sets than for the color histogram analysis technique based on comparison with manually segmented lesions determined by a dermatologist. Conclusions: The experimental results for the GVF‐based method demonstrate promise as an automated technique for skin lesion segmentation in dermoscopy images.Keywords
This publication has 21 references indexed in Scilit:
- Image Segmentation Using Deformable ModelsPublished by SPIE-Intl Soc Optical Eng ,2010
- Validation of segmentation techniques for digital dermoscopySkin Research and Technology, 2002
- A class of constrained clustering algorithms for object boundary extractionIEEE Transactions on Image Processing, 1996
- An active contour model for mapping the cortexIEEE Transactions on Medical Imaging, 1995
- The ABCD rule of dermatoscopyJournal of the American Academy of Dermatology, 1994
- Finite-element methods for active contour models and balloons for 2-D and 3-D imagesIeee Transactions On Pattern Analysis and Machine Intelligence, 1993
- Pigmented Spitz nevi: Improvement of the diagnostic accuracy by epiluminescence microscopyJournal of the American Academy of Dermatology, 1992
- In vivo epiluminescence microscopy of pigmented skin lesions. II. Diagnosis of small pigmented skin lesions and early detection of malignant melanomaJournal of the American Academy of Dermatology, 1987
- In vivo epiluminescence microscopy of pigmented skin lesions. I. Pattern analysis of pigmented skin lesionsJournal of the American Academy of Dermatology, 1987
- Die DermatoskopieArchiv für dermatologische Forschung, 1921