title: Segmentation of skin lesion using Cohen-Daubechies-Feauveau biorthogonal wavelet.
abstract: This paper presents a novel technique for segmentation of skin lesion in dermoscopic images based on wavelet transform along with morphological operations. The acquired dermoscopic images may include artifacts inform of gel, dense hairs and water bubble which make accurate segmentation more challenging. We have also embodied an efficient approach for artifacts removal and hair inpainting, to enhance the overall segmentation results. In proposed research, color space is also analyzed and selection of blue channel for lesion segmentation have confirmed better performance than techniques which utilizes gray scale conversion. We tackle the problem by finding the most suitable mother wavelet for skin lesion segmentation. The performance achieved with 'bior6.8' Cohen-Daubechies-Feauveau biorthogonal wavelet is found to be superior as compared to other wavelet family. The proposed methodology achieves 93.87 % accuracy on dermoscopic images of PH2 dataset acquired at Dermatology Service of Hospital Pedro Hispano, Matosinhos, Portugal.
authors.affiliation: Department of Computer Engineering, Bahria University, Islamabad, Pakistan.
authors.forename: Shehzad
authors.initials: S
authors.lastname: Khalid
authors.affiliation: Department of Computer Engineering, Bahria University, Islamabad, Pakistan ; Government College University, Faisalabad, Pakistan.
authors.forename: Uzma
authors.initials: U
authors.lastname: Jamil
authors.affiliation: Department of Computer Engineering, Bahria University, Islamabad, Pakistan.
authors.forename: Kashif
authors.initials: K
authors.lastname: Saleem
authors.affiliation: National University of Sciences and Technology, Islamabad, Pakistan.
authors.forename: M Usman
authors.initials: MU
authors.lastname: Akram
authors.affiliation: Department of Computer Engineering, Bahria University, Islamabad, Pakistan.
authors.forename: Waleed
authors.initials: W
authors.lastname: Manzoor
authors.affiliation: Department of Computer Engineering, Bahria University, Islamabad, Pakistan.
authors.forename: Waqas
authors.initials: W
authors.lastname: Ahmed
authors.affiliation: Department of Computer Engineering, Bahria University, Islamabad, Pakistan.
authors.forename: Amina
authors.initials: A
authors.lastname: Sohail
keywords: Border detection; Dermoscopy; Image enhancement; Image segmentation; Skin cancer