NDLI: Automatic Position Annotation of Brain CT Axial Slice for Content-Based Image Retrieval

Content Provider	IEEE Xplore Digital Library
Author	Kehong Yuan Zhen Tian Jiying Zou
Copyright Year	2009
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.
Starting Page	315
Ending Page	318
File Size	193168
Page Count	4
File Format	PDF
ISBN	9781424455430
e-ISBN	9781424455447
DOI	10.1109/ICICIC.2009.122
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-07
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Content based retrieval Computed tomography Voting Image retrieval Information retrieval Feature extraction Frequency Anatomy Gabor filters Data mining
Content Type	Text
Resource Type	Article

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Automatic Position Annotation of Brain CT Axial Slice for Content-Based Image Retrieval