Abstract
Accurate extraction of lesion borders is a crucial step in analysing dermoscopic skin lesion images. In this paper we present an effective approach to extracting lesion areas by combining an iterative segmentation algorithm with a preprocessing step that enhances colour information and image contrast. Following the pre-processing, analysis of the image background is conducted by iterative measurements based on median and standard deviation of non-lesion pixels, which in turn facilitates automatic and recurring noise reduction and enhancement. The algorithm does not depend on the use of rigid threshold values as an optimal thresholding algorithm is used to determine the optimal threshold iteratively. Extensive experimental evaluation is carried out on a dataset of 90 dermoscopy images with known ground truths obtained from three expert dermatologists. The results show that our approach is capable of providing good segmentation performance and that the colour enhancement step is indeed crucial as demonstrated by comparison with results obtained from the original RGB images.
Original language | English |
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Title of host publication | 2009 16th IEEE International Conference on Image Processing (ICIP) |
Publisher | IEEE |
Pages | 3361-3364 |
Number of pages | 4 |
ISBN (Print) | 9781424456543 |
DOIs | |
Publication status | Published - 1 Jan 2009 |
Event | 2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, United Kingdom Duration: 7 Nov 2009 → 10 Nov 2009 |
Conference
Conference | 2009 IEEE International Conference on Image Processing, ICIP 2009 |
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Country/Territory | United Kingdom |
City | Cairo |
Period | 7/11/09 → 10/11/09 |
Keywords
- Colour normalisation
- Contrast enhancement
- Dermoscopy
- Image segmentation
- Medical imaging
- Skin cancer