DocumentCode
2212101
Title
Color approach of melanoma lesion segmentation
Author
Beuren, Arlete T. ; Pinheiro, Rodrigo J G ; Facon, Jacques
Author_Institution
Fac. de Ensino Super. de Sao Miguel do Iguacu, Sao Miguel, Brazil
fYear
2012
fDate
11-13 April 2012
Firstpage
284
Lastpage
287
Abstract
This paper presents a segmentation approach of melanoma by color morphology. The images of melanoma are filtered by morphological tools using a lexicographic order onto HSI color space. A thresholding technique is applied to segment the melanoma Region of Interest (ROI). Binary morphological techniques are used to filter the ROI. The approach was tested on two benign and malignant image databases, both containing 100 images, and the results were compared to ground-truth segmentation and Fuzzy CMeans one. By performing twelve metrics, the results have shown the promising aspects of this approach to segment benign and malignant lesions.
Keywords
cancer; filtering theory; image colour analysis; image segmentation; medical image processing; visual databases; HSI color space; benign image database; binary morphological technique; color morphology; image filtering; lexicographic order; malignant image database; melanoma ROI; melanoma lesion segmentation; melanoma region of interest; morphological tools; thresholding technique; Cancer; Frequency modulation; Image color analysis; Image segmentation; Lesions; Malignant tumors; Measurement; Ground-truth; Mathematical Morphology; Melanoma; Segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
Conference_Location
Vienna
ISSN
2157-8672
Print_ISBN
978-1-4577-2191-5
Type
conf
Filename
6208129
Link To Document