An Image Retrieval Method Based on Color and Texture Features for Dermoscopy Images

  • Xuedong Song
  • Fengying XieEmail author
  • Jie Liu
  • Chang Shu
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 875)


Dermoscopy image retrieval can assist dermatologists to make a diagnosis by reference to confirmed cases, which can improve the accuracy of the diagnosis result. This paper proposed a retrieve method based on the combination of color and texture. The proposed method uses the color moments and Gabor wavelet to extract features and implements retrieval function by SKLSH hash code. In the experiments stage, we retrieve dermoscopy images including 4 kinds of skin diseases from the datasets which are pigmented nevus, seborrheic keratosis, psoriasis and eczema. Besides, we compared our methods with other color and texture features, as well as other dermoscopy image retrieval method, and the results show that our method obtains the best retrieval result.


Dermoscopy image Image retrieve Computer-aided diagnosis Color feature Texture feature 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Xuedong Song
    • 1
  • Fengying Xie
    • 1
    Email author
  • Jie Liu
    • 2
  • Chang Shu
    • 2
  1. 1.Beijing Advanced Innovation Center for Biomedical Engineering, Image Processing CenterBeihang UniversityBeijingChina
  2. 2.Department of DermatologyPeking Union Medical College HospitalBeijingChina

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