A PC-based vision system for bone measurement

C. C. Ko, Yung Nien Sun, Chi Wu Mou

Research output: Chapter in Book/Report/Conference proceedingConference contribution


A novel computer vision algorithm is presented which is designed for measurement of skeletal growth. The overall system was fully developed on an IBM-PC. It has the advantages of eliminating subjective variations resulting from the instability of human visual judgment and detecting abnormal skeletal growth in children in a short period of time. Two standard radiographs, taken from the same child at two time instants, were used in these analyses. The system consists of three stages: preprocessing, segmentation, and measurement. In the first stage, histogram equalization and autothresholding techniques were utilized to normalize the input radiograph and stretch the contrast. The segmentation determines the contour of each bone of interest. The measurement stage provides the necessary information for clinical diagnosis.

Original languageEnglish
Title of host publicationBiomedical Engineering Perspectives
Subtitle of host publicationHealth Care Technologies for the 1990's and Beyond
PublisherPubl by IEEE
Number of pages3
Editionpt 1
ISBN (Print)0879425598
Publication statusPublished - 1990
EventProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
Duration: 1990 Nov 11990 Nov 4

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 1
ISSN (Print)0589-1019


OtherProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityPhiladelphia, PA, USA

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics


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