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Jukic, A., Kopriva, I. and Cichocki, A. (2013) Noninvasive Diagnosis of Melanoma with Tensor Decomposition-Based Feature Extraction from Clinical Color Image. Biomedical Signal Processing and Control, 8, 755-763.
https://doi.org/10.1016/j.bspc.2013.07.001

has been cited by the following article:

• TITLE: Feature Extraction to Polar Image

  AUTHORS: Donghua Gu, Zhenyu Han, Qinge Wu

  KEYWORDS: Similar Region of Color Algorithm, Polar Image, Edge Detection, Corner Point Extraction

  JOURNAL NAME: Journal of Computer and Communications, Vol.5 No.11, September 4, 2017

  ABSTRACT: Some algorithms of feature extraction in existing literature studied for image processing was the gray image with one-dimensional parameter. However, some feature points’ extraction for three-dimensional color of polar image, such as the color edge extraction, inflection points, and so on, was urgently to be solved a polar color problem. For achieving quickly and accurately the color feature extraction to polar image, this paper proposed a similar region of color algorithm. The algorithm was compared to polar image, and the effect to color extraction was also described by the combination of the proposed and existing algorithms. Moreover, this paper gave the comparison of the proposed algorithm and an existing classical algorithm to extraction of color feature. These researches in this paper provided a powerful tool for polar image classification, color feature segmentation, precise recognition, and so on.