各种皮肤病变图像特征提取技术的分析

Sudhriti Sengupta, Neetu Mittal
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引用次数: 8

摘要

皮肤病变是指由于某种疾病、事故等引起的患者皮肤上的任何异常形态。皮肤病变图像对医生进行疾病诊断和治疗具有重要意义。在这些图像上应用图像处理技术,从图像中不同特征的可见性方面提高图像质量。增强图像有助于医生和医疗保健提供者为患者提供更好的治疗。皮肤病变图像的特征提取对皮肤病变的分类具有重要意义,有助于识别皮肤病变。人们提出了许多图像特征提取技术。本文简要概述了用于皮肤病变图像的特征提取技术,并观察了一些可以进一步开展工作的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of various techniques of feature extraction on skin lesion images
Skin lesions are any abnormal pattern in the skin of a patient occurring due to some disease, accident etc. Skin lesions images are very important for the doctors to diagnosis disease and treat the patients. Image processing techniques are applied on these images to improve the quality of the image in terms of visibility of the different feature in the image. Enhanced images aid the doctors and healthcare provider to provide better treatment to the patients. Feature extraction of skin lesion images is very significant for classification of skin lesion which helps in identification of skin lesions. Many techniques have been proposed for feature extraction of images. This paper provides a brief overview of the feature extraction techniques used in skin lesion images and observes some areas in which further work can be done.
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