一种用于黑色素瘤皮肤癌诊断的联合分割方法

2015 IEEE Seventh National Conference on Computing, Communication and Information Systems (NCCCIS) Pub Date : 2015-10-12 DOI:10.1109/NCCCIS.2015.7295900

S. Sujitha, M. L. Priya, J. Premaladha, K. S. Ravichandran

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引用次数: 6

摘要

本文说明了黑素瘤的诊断方法，一种致命的皮肤癌使用计算机辅助图像处理技术。其中预处理部分采用中值滤波和Karhunen-Loeve变换相结合的方法，分割部分采用活动轮廓和分水岭变换相结合的方法。将该组合方法应用于皮肤病变图像时，解决了过度平滑和过度分割等问题。

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A combined segmentation approach for melanoma skin cancer diagnosis

This paper illustrates the methodology for melanoma diagnosis, a deadly skin cancer using computer aided image processing techniques. Here, the combination of Median filtering and Karhunen-Loeve transform are used in preprocessing part and also a combination of Active contours and Watershed Transformation algorithms are used in Segmentation process. When this combined method is applied on skin lesion images, the problems like over smoothing and over segmentation were solved.

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来源期刊

2015 IEEE Seventh National Conference on Computing, Communication and Information Systems (NCCCIS)

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