Lesion border detection in dermoscopy images using bilateral filter

Abstract

This paper proposes an efficient way to effectively segment malignant melanoma in color dermoscopy images. A combination of methods are used in the proposed technique, including smoothing filters, PSNR, Spline, edge detection, morphological operations and segmentation. The pre-processing step eliminates noise, smoothes the image and employs the spline function to improve edge detection, while morphological operations are used to segment the lesion from image. Manual boundary selection is used as benchmark to test the accuracy of the automatic boundary selection by the proposed algorithm. The evaluation results show that the proposed method (Bilt-Sp) is able to achieve a good accuracy of 96.26%, supporting the effectiveness of the proposed method in automatically detecting skin lesions.