J Shanghai Jiaotong Univ Sci ›› 2025, Vol. 30 ›› Issue (3): 535-544.doi: 10.1007/s12204-023-2637-4
收稿日期:
2023-01-17
接受日期:
2023-03-05
出版日期:
2025-06-06
发布日期:
2025-06-06
马婷1,吴建芳1,胡峰2,聂伟3,刘友鑫1
Received:
2023-01-17
Accepted:
2023-03-05
Online:
2025-06-06
Published:
2025-06-06
摘要: 目前针对肠道天然管状结构的图像拼接方法仍缺乏系统的研究,且传统拼接方法对带有深景区域的内镜图像存在适用性差的问题。为了在二维空间中重塑肠道内壁,我们开发了一种方法,该方法根据肠道图像特征不明显且通常呈圆环状排列的特点,采用基于归一化的拉普拉斯算法增强图像并将其进行极坐标展开变换,进而提取出当前图像相对于前张图像的新增图像片段,并利用改进的加权融合算法顺序拼接片段图像。实验结果表明,所提方法可以提高图像的清晰度,并在确保肠道图像信息含量的同时将噪声降到最低,同时最终呈现的全景图像片段之间过渡平缓,拼接痕迹明显消失。
中图分类号:
. 基于改进加权融合的胶囊内镜肠道内壁图像拼接方法[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(3): 535-544.
Ma Ting, Wu Jianfang, Hu Feng, Nie Wei, Liu Youxin. Image Mosaic Method of Capsule Endoscopy Intestinal Wall Based on Improved Weighted Fusion[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(3): 535-544.
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