皮肤镜图像质量的综合评价方法研究

项目名称： 皮肤镜图像质量的综合评价方法研究

项目编号： No.61471016

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 谢凤英

作者单位： 北京航空航天大学

项目金额： 88万元

中文摘要： 皮肤镜能够观察活体皮肤表面以下微细结构和色素，是皮肤癌早期发现和诊断的有效工具。皮肤镜图像的采集质量直接影响了后续图像分析诊断的结果。针对皮肤镜图像在采集过程中可能出现的散焦模糊、光照不均、毛发遮挡等影响图像质量的典型因素，研究皮肤镜图像的无参考质量评价方法。从失真原理入手，为散焦模糊和光照不均信号建模，研究散焦半径的精确估计，用散焦半径的大小来衡量散焦模糊的程度，研究光照曲面的建模方法，用光照曲面的梯度变化来估计光照不均的失真程度。提取毛发目标，分析毛发的分布特性，进而评价毛发对图像的遮挡程度。研究散焦模糊、光照不均、毛发遮挡等各种因素混合存在时对图像质量的综合影响，以后续图像分割和分析诊断的结果为驱动，建立图像质量综合评价模型，对多种质量干扰因素混合存在时的皮肤镜图像质量做出正确评价。制定皮肤镜图像的质量标准，确保不合格的图像能够重新采集，从而为皮肤镜图像分析系统的有效诊断提供保障。

中文关键词： 皮肤镜图像；无参考评价；客观评价；综合评价

英文摘要： Dermoscopy technology, through which the subsurface structures of the skin can be well revealed, is an effective tool to diagnose the skin cancer. And dermoscopy image quality influences the subsequent analysis result of skin tumors. Considering the typical factors which result in the low image qualities, including defocus blur, uneven illumination and hair noises, non-reference quality assessment method for dermoscopy images is researched. Firstly, the degrees of the defocus blur and the uneven illumination are evaluated by using the defocus radius as blur index and the gradient change of fitting brightness surface as uneven illumination index respectively. Secondly, the hair is extracted from images through connected component elongate and the hair noise degree is evaluated through the hair distribution in the image. Thirdly, the influences to the consequent image segmentation and diagnose result are analyzed when the three factors exist in the same image, and the comprehensive quality score is calculated through multi-factor comprehensive evaluation method. As the result of above research work, the quality standards for dermoscopy image are developed, and the images with low quality score are refused from the analysis system to ensure the segmentation accurateness and the diagnose rightness.

英文关键词： dermoscopy image;non-reference quality assessment;objective assessment;comprehensive evaluation