Automatic position annotation of brain CT axial slice for content-based image retrieval

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Abstract

Anatomy position annotation of brain CT Axial Slice is an important step in content-based image retrieval. In this paper, we provide an efficient approach to automatically estimate the approximate anatomy position of brain CT axial slices in two steps: First, decide whether the input image is encephalic image or nasal cavity image using vote scheme based on the classification results with features extracted by Gabor filter, sobel operator and gray-level co-occurrence matrix (GLCM) respectively; Second, annotate the approximate anatomy position of encephalic images using nonnegative tensor factorization (NTF). The approach has 99% accuracy in distinguishing between encephalic images and nasal cavity images and over 90% accuracy in automatic position annotation of encephalic images.

Original languageEnglish (US)
Title of host publication2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
Pages315-318
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009 - Kaohsiung, Taiwan, Province of China
Duration: Dec 7 2009Dec 9 2009

Other

Other2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
CountryTaiwan, Province of China
CityKaohsiung
Period12/7/0912/9/09

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ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Software

Cite this

Yuan, K., Tian, Z., & Zou, J. (2009). Automatic position annotation of brain CT axial slice for content-based image retrieval. In 2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009 (pp. 315-318). [5412347] https://doi.org/10.1109/ICICIC.2009.122