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Skin image retrieval using Gabor wavelet texture feature.

X Ou1, W Pan2, X Zhang2

  • 1College of Communication Engineering, Chongqing University, Chongqing, 400044, China.

International Journal of Cosmetic Science
|April 13, 2016
PubMed
Summary
This summary is machine-generated.

This study developed an effective skin image retrieval method using Gabor wavelet transform. This technique efficiently retrieves various skin images, including capacitive contact, facial, and medical images.

Keywords:
Gabor wavelet transformcontent-based image retrievalskin capacitive imagesskin imagingtexture features

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Area of Science:

  • Medical Imaging
  • Computer Vision
  • Biomedical Engineering

Background:

  • Skin imaging is crucial for clinical research, with capacitive contact imaging being a recent advancement.
  • Content-based image retrieval (CBIR) enables searching image databases using query images based on features like color, shape, and texture.
  • Texture analysis is vital for distinguishing and retrieving various skin image types.

Purpose of the Study:

  • To develop an effective skin image retrieval technique utilizing Gabor wavelet transform.
  • To evaluate the technique's efficacy across diverse skin image types, with a focus on capacitive contact images.

Main Methods:

  • Employed Content-Based Image Retrieval (CBIR) for image searching.
  • Utilized Gabor wavelet transform for texture feature description and extraction from skin images.
  • Compared Gabor wavelet transform with Principal Component Analysis (PCA) and Grey-Level Co-occurrence Matrix (GLCM).

Main Results:

  • Gabor wavelet texture features demonstrated efficiency across various skin image types.
  • Gabor wavelet transform proved superior for retrieving skin capacitive contact images and varied-orientation facial images, despite being slower than PCA and GLCM.
  • The method showed effectiveness for facial images with different expressions and medical images of skin cancer/disease.

Conclusions:

  • An effective skin image retrieval method based on Gabor wavelet transform was successfully developed.
  • The technique is versatile, applicable to digital color facial images, skin cancer/disease images, and greyscale capacitive contact images.
  • Gabor wavelet transform shows potential for face recognition and aiding in skin cancer/disease diagnosis.