Abstract
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.
This work was supported by the National Natural Science Foundation of China under Grants 61471016.
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Song, X., Xie, F., Liu, J., Shu, C. (2018). An Image Retrieval Method Based on Color and Texture Features for Dermoscopy Images. In: Wang, Y., Jiang, Z., Peng, Y. (eds) Image and Graphics Technologies and Applications. IGTA 2018. Communications in Computer and Information Science, vol 875. Springer, Singapore. https://doi.org/10.1007/978-981-13-1702-6_40
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DOI: https://doi.org/10.1007/978-981-13-1702-6_40
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