Title :
An effective segmentation method for dermoscopy images
Author :
Razazzadeh, Neda ; Khalili, Mehdi
Author_Institution :
Dept. Comput. & Inf. Eng., Payame noor Univ., Gheshm, Iran
Abstract :
In this paper, an improved segmentation method of the pigmented skin lesions have been proposed in which to achieve the high characteristics of segmentation, converting the RGB images to U channel of YUV color space and noise reduction with fourier-domain filtering properties is done in pre-processing step. Also, Otsu thresholding and morphological reconstruction algorithms are used respectively in segmentation and post-processing steps. The experimental results reveal that the proposed scheme not only attains satisfactory sensitivity, but also has a higher accuracy (about 96.13%) and specificity (about 97.74%) compared to the related existing methods.
Keywords :
Fourier analysis; image colour analysis; image denoising; image filtering; image reconstruction; image segmentation; medical image processing; skin; Fourier-domain filtering properties; Otsu thresholding; RGB images; U channel; YUV color space; dermoscopy images segmentation method; morphological reconstruction algorithms; noise reduction; pigmented skin lesions; Accuracy; Image color analysis; Image segmentation; Lesions; Malignant tumors; Sensitivity; Skin; Otsu thresholding; YUV color space; dermatoscopic image; segmentation;
Conference_Titel :
Computer and Knowledge Engineering (ICCKE), 2014 4th International eConference on
Conference_Location :
Mashhad
Print_ISBN :
978-1-4799-5486-5
DOI :
10.1109/ICCKE.2014.6993380