Analysis and Research of Spinal CT Image Segmentation Based on Improved Watershed Algorithm

Yuting He, Shigang Wang*, Xueshan Gao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The traditional watershed is easy to be affected and then produces over-segmentation. In order to reduce the image over-segmentation, it is necessary to reduce the irrelevant information and enhance the foreground and background contrast of the spine CT images by improving the threshold segmentation. After marking the foreground and background, the watershed algorithm works in its restricted area by modifying the original gradient function. By experimental comparative analysis, the proposed method effectively restricts the image over-segmentation and also removes the holes made by the influence of noise. At the same time, the improved algorithm has universal applicability to the spine images to process pictures for saving time and laying a good foundation for the subsequent reconstruction.

Original languageEnglish
Title of host publication2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2023
EditorsTeen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages119-123
Number of pages5
ISBN (Electronic)9798350333862
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event3rd IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2023 - Taichung, Taiwan, Province of China
Duration: 14 Apr 202316 Apr 2023

Publication series

Name2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2023

Conference

Conference3rd IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2023
Country/TerritoryTaiwan, Province of China
CityTaichung
Period14/04/2316/04/23

Keywords

  • over-segmentation
  • processing batch
  • threshold segmentation
  • watershed algorithm

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