Goceri Evgin
Department of Biomedical Engineering, Engineering Faculty, Akdeniz University, Turkey.
Comput Biol Med. 2023 Jan;152:106474. doi: 10.1016/j.compbiomed.2022.106474. Epub 2022 Dec 21.
Computerized methods provide analyses of skin lesions from dermoscopy images automatically. However, the images acquired from dermoscopy devices are noisy and cause low accuracy in automated methods. Therefore, various methods have been applied for denoising in the literature. There are some review-type papers about these methods. However, their authors have focused on either denoising with a specific approach or denoising from other images rather than dermoscopy images, which have a different characteristic. It is not possible to determine which method is the most suitable for denoising from dermoscopy images according to the results presented in them. Therefore, a review on the denoising approaches applied with dermoscopy images is required and, according to our knowledge, there is no such a review-type paper. To fill this gap in the literature, the required review has been performed in this work. Also, in this work, the methods in the literature have been implemented using the same data sets containing images with speckle or Gaussian types of noise. The results have been analyzed not only visually but also quantitatively to compare capabilities of the techniques. Our experiments indicated that each denoising technique has its own disadvantages and advantages. The main contributions of this paper are three-fold: (i) A comprehensive review on the denoising approaches applied with dermoscopy images has been presented. (ii) The denoising techniques have been implemented with the same images for meaningful comparisons. (iii) Both visual and quantitative analyses with different metrics have been performed and comparative performance evaluations have been presented.
计算机化方法可自动分析皮肤镜图像中的皮肤病变。然而，从皮肤镜设备获取的图像存在噪声，这导致自动方法的准确性较低。因此，文献中已应用了各种去噪方法。关于这些方法有一些综述类论文。然而，它们的作者要么专注于用特定方法去噪，要么专注于对其他图像而非具有不同特征的皮肤镜图像去噪。根据它们所呈现的结果，无法确定哪种方法最适合对皮肤镜图像进行去噪。因此，需要一篇关于应用于皮肤镜图像的去噪方法的综述，据我们所知，尚无此类综述类论文。为填补文献中的这一空白，本研究进行了所需的综述。此外，在本研究中，使用包含具有斑点或高斯类型噪声图像的相同数据集实现了文献中的方法。不仅从视觉上而且从定量角度分析了结果，以比较这些技术的能力。我们的实验表明，每种去噪技术都有其自身的缺点和优点。本文的主要贡献有三个方面：（i）对应用于皮肤镜图像的去噪方法进行了全面综述。（ii）使用相同的图像实现了去噪技术，以便进行有意义的比较。（iii）进行了不同指标的视觉和定量分析，并给出了比较性能评估。
