Adaptive thresholding skin lesion segmentation with gabor filters and principal component analysis

Thanh D. N. H., Hien N. N., Surya Prasath V., Erkan U., Khamparia A.

4th International Conference on Research in Intelligent and Computing in Engineering, RICE 2019, Ha-Noi, Vietnam, 8 - 09 Ağustos 2019, cilt.1125, ss.811-820, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1125
  • Doi Numarası: 10.1007/978-981-15-2780-7_87
  • Basıldığı Şehir: Ha-Noi
  • Basıldığı Ülke: Vietnam
  • Sayfa Sayıları: ss.811-820
  • Anahtar Kelimeler: Gabor filters, ISIC dataset, Medical image processing, Medical image segmentation, Principal component analysis, Skin cancer, Skin lesion
  • Ankara Üniversitesi Adresli: Hayır

Özet

In this article, we study and propose an adaptive thresholding segmentation method for dermoscopic images with Gabor filters and Principal Component Analysis. The Gabor filters is used for extracting statistical features of image and the Principal Component Analysis is applied for transforming features to various bases. In experiments, we implement tests with the ISIC dataset. Segmentation results are assessed by the Dice and the Jaccard similarities. We also compare the proposed method to other similar methods to prove its own effectiveness.