Real-Time Detection and Classification of Porous Bone Structures Using Image Segmentation and Opening Operation Techniques

Ching Jung Hung, Yu Reng Tsao, Chun Li Lin, Cheng Yang Liu

研究成果: 圖書/報告稿件的類型會議稿件同行評審

摘要

When treating bone diseases such as osteoarthritis, rheumatoid arthritis, bone fractures, and osteoporosis, the postoperative recovery of patients becomes more efficient by customizing bone implants with different bone densities. In this study, the non-contact surface profile measurement system based on image segmentation and opening operation techniques is proposed to measure the exterior geometric configurations of porous bone implants. We compile the image processing program for distinguishing the bone surface profiles from the original bone images captured by a CMOS camera. First, the original bone images are converted into gray-scale images. Then, the gray-scale images are normalized by k-means clustering for improving the accuracy of binarizations. The opening operation of erosion and dilation is applied to remove image noises and enhance porous features. The Canny edge detection is used to precisely obtain the contours and pixel sizes of the porous bone features. Finally, the clear surface contours of the porous structures without background noises are acquired by the Gaussian blur technique. The geometric dimensions of artificial porous joints and implants can be inspected by this surface profile measurement system after the metal three-dimensional printing process. The experimental results are excessively helpful to real-time implant corrections and accurate treatments.

原文英語
主出版物標題Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021
編輯Teen-Hang Meen
發行者Institute of Electrical and Electronics Engineers Inc.
頁面328-332
頁數5
ISBN(電子)9781665445160
DOIs
出版狀態已出版 - 2021
對外發佈
事件3rd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2021 - Yunlin, 台灣
持續時間: 29 10 202131 10 2021

出版系列

名字Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021

Conference

Conference3rd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2021
國家/地區台灣
城市Yunlin
期間29/10/2131/10/21

文獻附註

Publisher Copyright:
© 2021 IEEE.

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