Edge Detection in Dermascopic Images by Linear Structuring Element

Sudhriti Sengupta, Neetu Mittal, Megha Modi
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引用次数: 1

Abstract

Skin lesions are the abnormal portion in the skin. These abnormalities are generally due to different color, texture or shape. Skin lesions are indicators of some disease or precursor of diseases. Automated skin lesion analysis will help the medical practitioners for timely and correct diagnosis and treatment of the disease. In this paper, effective edge detection for skin lesion detection is proposed. Dilation of a linear structure of specific dimension is used for enhancing the edges of the skin lesions. This results in better segmentation of the dermascopic image.
基于线性结构元素的皮肤图像边缘检测
皮肤病变是皮肤的异常部分。这些异常通常是由于不同的颜色、质地或形状。皮肤病变是某种疾病的标志或疾病的前兆。自动皮肤病变分析将有助于医生及时、正确地诊断和治疗疾病。本文提出了一种有效的皮肤损伤边缘检测方法。特定尺寸的线性结构的扩张用于增强皮肤病变的边缘。这样可以更好地分割皮肤镜图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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