Image quality enhancement for skin cancer optical diagnostics

D. Bļizņuks, I. Kuzmina, K. Boločko, A. Lihachev
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引用次数: 4

Abstract

The research presents image quality analysis and enhancement proposals in biophotonic area. The sources of image problems are reviewed and analyzed. The problems with most impact in biophotonic area are analyzed in terms of specific biophotonic task – skin cancer diagnostics. The results point out that main problem for skin cancer analysis is the skin illumination problems. Since it is often not possible to prevent illumination problems, the paper proposes image post processing algorithm – low frequency filtering. Practical results show diagnostic results improvement after using proposed filter. Along that, filter do not reduces diagnostic results’ quality for images without illumination defects. Current filtering algorithm requires empirical tuning of filter parameters. Further work needed to test the algorithm in other biophotonic applications and propose automatic filter parameter selection.
用于皮肤癌光学诊断的图像质量增强
研究提出了生物光子领域的图像质量分析和增强建议。对图像问题的来源进行了回顾和分析。从生物光子的特殊任务——皮肤癌诊断的角度,分析了生物光子领域中影响最大的问题。结果指出皮肤癌分析的主要问题是皮肤光照问题。由于经常无法防止光照问题,本文提出了图像后处理算法——低频滤波。实际结果表明,采用该滤波器后,诊断结果有所改善。同时,对于没有光照缺陷的图像,滤光片不会降低诊断结果的质量。目前的滤波算法需要对滤波参数进行经验调谐。进一步的工作需要在其他生物光子应用中测试算法,并提出自动滤波器参数选择。
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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