title: Liver CT-image retrieval based on Gabor texture.
abstract: Gabor schemes of image representation have shown great success in many texture related computer vision applications. This is mainly because the primitives of image representation in vision have a wavelet form similar to Gabor elementary functions (GEF's). We use Gabor approach to analyze the texture of liver CT-images and extract the corresponding feature vectors. Then, the feature vectors are used to facilitate content-based image retrieval (CBIR). In experiments, a batch of liver CT images containing several types of CT findings is collected, and retrieval results by Gabor texture are present.
authors.affiliation: Dept. of Biomed. Eng., Jiao Tong Univ., Shanghai, China.
authors.forename: C G
authors.initials: CG
authors.lastname: Zhao
authors.forename: H Y
authors.initials: HY
authors.lastname: Cheng
authors.forename: Y L
authors.initials: YL
authors.lastname: Huo
authors.forename: T G
authors.initials: TG
authors.lastname: Zhuang