Abstract
Hepatic computed tomography (CT) images with Gabor function were analyzed. Then a threshold-based classification scheme was proposed using Gabor features and proceeded with the retrieval of the hepatic CT images. In our experiments, a batch of hepatic CT images containing several types of CT findings was used and compared with the Zhao’s image classification scheme, support vector machines (SVM) scheme and threshold-based scheme.
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Foundation item: the National Natural Science Foundation of China (No. 30770589)
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Jiang, Lj., Luo, Yx., Zhao, J. et al. Hepatic CT image query based on threshold-based classification scheme with gabor features. J. Shanghai Jiaotong Univ. (Sci.) 13, 753–758 (2008). https://doi.org/10.1007/s12204-008-0753-9
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DOI: https://doi.org/10.1007/s12204-008-0753-9
Key words
- content based image retrieval
- Gabor features
- threshold-based scheme
- support vector machines (SVM)
- hepatic computed tomography (CT) images