Classification of the Pigmented Skin lesions in Dermoscopic Images by Shape Features Extraction
سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 666
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شناسه ملی سند علمی:
JR_IJMEC-5-15_009
تاریخ نمایه سازی: 16 فروردین 1395
چکیده مقاله:
Differentiation of benign and malignant (melanoma) of the pigmented skin lesions is difficult even for the dermatologists thus in this paper a new analysis of the dermatoscopic images have been proposed. Segmentation, feature extraction and classification are the major steps of images analysis. In Segmentation step we use an improved FFCM based segmentation method (our previous work) to achieve to binary segmented image. In feature extraction step, the shape features are extracted from the binary segmented image. After normalizing of the features, in classification step, the feature vectors are classified into two groups (benign and malignant) by SVM classifier. The classification result for the accuracy is 71.39%, specificity is 85.95%, and it has the satisfactory results in sensitivity metrics.
کلیدواژه ها:
نویسندگان
Neda Razazzadeh
M.S. Student, Dept. Computer and Informatics Engineering, Payame Noor University, Qeshm, Iran
Mehdi Khalili
Assistant professor, Dept. Computer and Informatics Engineering, Payame Noor University, Tehran, Iran