DETEKSI DIAMETER TUMOR PADA KULIT MENGGUNAKAN SEGMENTASI CITRA BERDASARKAN KARAKTERISTIK ABCDE
W Septian, D Riana, MJ Prayogo - 2016
Kutip
Septian, W., Riana, D., & Prayogo, M. J. (2016). DETEKSI DIAMETER TUMOR PADA KULIT MENGGUNAKAN SEGMENTASI CITRA BERDASARKAN KARAKTERISTIK ABCDE. INFORMATIKA, 3(2).
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Abstrak
Skin cancer is malfunctional skin cell which have an uncontrolled growth factor and in the final phase of skin cancer, can make the person who suffer die. Detect the disease as early as possible is one way to avoid the worst possible defects and, because of its location on the surface of the skin, it would be easy for anyone to identify the skin cancer (melanoma). Early detection can be performed based on the characteristics Asymmetrical Shape, Border, Color, Diameter, Evolution (ABCDE). In this research, The early detection is focused on identifying diameter at 30 nevus images. Research method that used is processing the nevus images by converting the images into HSI images and then converted into a binary image, next step is do a segmentation using median filter, morphological construction process and at the final stage, do a edge detection with sobel operator. Edge detection process will simplify the nevus diameter area calculation. Result of the research with the 30 nevus images is the image processing method which suggested in this research can detect the nevus diameter and sucess to identify 26 images as normal nevus with diameter <6mm and 4 nevus images as melanoma with diameter >6mm.
Kata kunci: Nevus, Melanoma, Segmentation, Diameter Detection
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