Anatomical region segmentation method from dermoscopic images of pigmented skin lesions. Issue 3 (11th February 2020)

• Record Type: Journal Article
• Authors: Chakkaravarthy, A. Prabhu; Chandrasekar, A.
• Is Part Of: International journal of imaging systems and technology. Volume 30:Issue 3(2020)
• Page Start: 636
• Page End: 652
• Publication Date: 2020-02-11
• Subjects: canny edge detection -- color segmentation -- Gaussian filter -- image gradient -- morphological dilation -- salt and pepper noise -- Sobel operator -- watershed segmentation; Imaging systems -- Periodicals; Image processing -- Periodicals; 621.367
• DOI: 10.1002/ima.22404
• Languages: English
• ISSNs: 0899-9457

Abstract

Abstract: Melanoma tumor can cause a serious life threatening problem in humans, if left untreated for a long time without early diagnosis. For early diagnosis of melanoma, it is more significant to develop novel methods based on biophysics analyses, molecular targets recognitions, and new image analysis criteria. In this article, anatomical region segmentation and diameter identification is proposed to detect melanoma from dermoscopic images. Four main steps of the proposed system are as follows: In the first step, the preprocessing is performed to smooth the melanoma extraction process. The region segmentation is done in the second step using watershed segmentation and Sobel operator. In the third step, the postprocessing procedures like as morphological open, canny edge detection also applied to improve the region of interest. Finally, the melanoma region is identified using color symmetry features. The proposed method is tested with two data sets to prove the performance proposed method. The proposed method achieved an accuracy of 95.31% and specificity of 98.3%, which is better than other methods. Experimental results show that the effectiveness of the proposed method and illustrate viability of real‐time clinical applications.