Skin Image Retrieval Using Gabor Wavelet Texture Feature
Ou, X, Pan, W, Zhang, X and Xiao, P (2016). Skin Image Retrieval Using Gabor Wavelet Texture Feature. International Journal of Cosmetic Science. 38 (6), pp. 607-614.
|Authors||Ou, X, Pan, W, Zhang, X and Xiao, P|
OBJECTIVE: Skin imaging plays a key role in many clinical studies. We have used many skin imaging techniques, including the recently developed capacitive contact skin imaging based on fingerprint sensors. The aim of this study is to develop an effective skin image retrieval technique using Gabor wavelet transform, which can be used on different types of skin images, but with a special focus on skin capacitive contact images. METHODS: Content-based image retrieval (CBIR) is a useful technology to retrieve stored images from database by supplying query images. In a typical CBIR, images are retrieved based on colour, shape, and texture, etc. In this paper, texture feature is used for retrieving skin images, and Gabor wavelet transform is used for texture feature description and extraction. RESULTS: The results show that the Gabor wavelet texture features can work efficiently on different types of skin images. Although Gabor wavelet transform is slower compared with other image retrieval techniques, such as Principal Component Analysis (PCA) and Grey level co-occurrence matrix (GLCM), Gabor wavelet transform is the best for retrieving skin capacitive contact images and facial images with different orientations. Gabor wavelet transform can also work well on facial images with different expressions and skin cancer/disease images. CONCLUSION: We have developed an effective skin image retrieval method based on Gabor wavelet transform, that it is useful for retrieving different types of images, namely digital colour face images, digital colour skin cancer and skin disease images, and particularly, grayscale skin capacitive contact images. Gabor wavelet transform can also be potentially useful for face recognition (with different orientation and expressions) and skin cancer/disease diagnosis. This article is protected by copyright. All rights reserved.
|Keywords||Gabor wavelet transform; Skin imaging; content-based image retrieval; skin capacitive images; texture features|
|Journal||International Journal of Cosmetic Science|
|Journal citation||38 (6), pp. 607-614|
|Digital Object Identifier (DOI)||doi:10.1111/ics.12332|
|12 Apr 2016|
|Publication process dates|
|Deposited||11 Aug 2016|
|Accepted||12 Mar 2016|
|Accepted author manuscript|
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© 2016 Society of Cosmetic Scientists and the Société Française de Cosmétologie. This is the peer reviewed version of the article which has been published in final form at DOI https://doi.org/10.1111/ics.12332. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
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