DETECTION OF MELANOMA USING IMAGE PROCESSING TECHNIQUES DRIVEN TDS INDEX | ||
| Journal of Environmental Science | ||
| Article 2, Volume 46, Issue 2, June 2019, Pages 1-46 PDF (379.08 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/jes.2019.69630 | ||
| Authors | ||
| S. Hassan Mohamed1; S. Donia Noha1; A. Mahmoud Tarek2; H. Elsamahy May3 | ||
| 1Institute of Environmental Studies and Research, Ain Shams University | ||
| 2Military Technical College (MTC), Cairo, Egypt | ||
| 3Dermatology, Venereology and Andrology Department, Medicine College, Ain Shams University | ||
| Abstract | ||
| Skin cancer exists in different forms such as: Melanoma, Basal and Squamous Cell Carcinoma, among which Melanoma is the most dangerous and unpredictable skin cancer. In this paper, we implement an image processing technique for the detection of Melanoma skin cancer, in which the input to the system is the skin lesion image. This image proceeds with the image preprocessing methods such as conversion of (Red, Green, Blue)RGB image to gray scale image, noise removal, hair removal and so on. Moreover thresholding is used to segment the images followed by feature extraction that includes parameters such as: Asymmetry, Border irregularity, Color and Diameter (ABCD). Finally, the total Dermoscopic score (TDS) is calculated and decision is to be taken whether the cancer is Melanoma or not | ||
| Keywords | ||
| Skin lesion; Melanoma; TDS; ABCD Parameters | ||
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