J Shanghai Jiaotong Univ Sci ›› 2025, Vol. 30 ›› Issue (3): 535-544.doi: 10.1007/s12204-023-2637-4

• Medicine-Engineering Interdisciplinary • Previous Articles     Next Articles

Image Mosaic Method of Capsule Endoscopy Intestinal Wall Based on Improved Weighted Fusion

基于改进加权融合的胶囊内镜肠道内壁图像拼接方法

马婷1,吴建芳1,胡峰2,聂伟3,刘友鑫1   

  1. 1. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu 610500, China; 2. Jiangsu Citron Biotechnology Co., Ltd., Nantong 226300, Jiangsu, China; 3. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  2. 1. 西南石油大学 电气信息学院,四川 成都 610500;2. 江苏势通生物科技有限公司,江苏 南通 226300;3. 重庆邮电大学 通信与信息工程学院,重庆 400065
  • Received:2023-01-17 Accepted:2023-03-05 Online:2025-06-06 Published:2025-06-06

Abstract: There is still a dearth of systematic study on picture stitching techniques for the natural tubular structures of intestines, and traditional stitching techniques have a poor application to endoscopic images with deep scenes. In order to recreate the intestinal wall in two dimensions, a method is developed. The normalized Laplacian algorithm is used to enhance the image and transform it into polar coordinates according to the characteristics that intestinal images are not obvious and usually arranged in a circle, in order to extract the new image segments of the current image relative to the previous image. The improved weighted fusion algorithm is then used to sequentially splice the segment images. The experimental results demonstrate that the suggested approach can improve image clarity and minimize noise while maintaining the information content of intestinal images. In addition, the method’s seamless transition between the final portions of a panoramic image also demonstrates that the stitching trace has been removed.

Key words: capsule endoscopy, image stitching, intestinal wall, image enhancement, improved weighted fusion

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。

关键词: 胶囊内镜,图像拼接,肠道内壁,图像增强,改进加权融合

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