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Type2 fuzzy set based automatic shadow region segmentation in intra vascular ultrasound images

机译:基于模糊组的基于模糊组的血管超声图像中的自动阴影区域分割

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This paper presents an automated algorithm for shadow regions detection in IVUS images using a histogram modification method for threshold selection. The method employs the Type2 Fuzzy Set together with spatial information for shadow region separation from the background image. Shadow regions usually occur behind the calcium deposits making it difficult or impossible to process tissue images in these regions. Results show that the proposed method is effective in detection of parts of the image in the shadow regions. Applying to a data set of 40 IVUS frames the results show a good agreement between the automatically detected and manually defined shadow regions boundaries by the proposed method and the expert, respectively.
机译:本文介绍了使用直方图修改方法进行阈值选择的IVUS图像中的暗影区域检测自动化算法。该方法采用Type2模糊与来自背景图像的阴影区域分离的空间信息一起使用。阴影区域通常发生在钙沉积物后面,使得在这些区域中难以或不可能处理组织图像。结果表明,该方法有效地检测影子区域中图像的部分。应用于40 IVUS帧的数据集结果,结果分别通过所提出的方法和专家自动检测和手动定义阴影区域边界之间的良好一致性。

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