Automatic method for assessment of telangiectasia degreeing by mathematical morphology

F. C. Flores, R. Lotufo, Stela Isernhagen, Leonardo M. Rocha, Alexandre G. Silva, E. Rocha
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引用次数: 1

Abstract

This paper presents an automatic method to assess telangiectasia degreeing, by estimating the reduction of the varicose area from pre to post-treatment using digital image analysis techniques. First both images are geometrically transformed and color space reduced, in order to make them suitable for processing. Next, the varicose veins are segmented via watershed transform and the varicose areas in both images are detected. Finally, the assessment degreeing is done. The method was applied to twenty patients and the results were very consistent, according to the analysis of six vascular specialists.
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用数学形态学自动评定毛细血管扩张程度的方法
本文提出了一种自动评估毛细血管扩张程度的方法,通过使用数字图像分析技术估计从治疗前到治疗后静脉曲张面积的减少。首先,对两幅图像进行几何变换,减少色彩空间,使其适合处理。然后通过分水岭变换对两幅图像的静脉曲张区域进行分割,检测两幅图像的静脉曲张区域。最后,进行了评价分级。根据六名血管专家的分析,该方法应用于20名患者,结果非常一致。
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