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Content-based retrieval based on binary vectors for 2-D medical images

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【作者】 龚鹏邹亚东洪海

【Author】 GONG Peng, ZOU Ya-dong, HONG Hai(School of Computer Science and Technology, Heilongjiang University, Harbin 150080, China)

【机构】 School of Computer Science and TechnologyHeilongjiang UniversityHarbin 150080ChinaChina

【摘要】 <正> In medical research and clinical diagnosis, automated or computer-assisted classification and retrieval methods are highly desirable to offset the high cost of manual classification and manipulation by medical experts. To facilitate the decision-making in the health-care and the related areas, in this paper, a two-step content-based medical image retrieval algorithm is proposed. Firstly, in the preprocessing step, the image segmentation is performed to distinguish image objects, and on the basis of the segmentation results, the boundary of each object is extracted to simplify each object feature space; and then in the second step, the binary vector for each object is generated to record their spatial information; and based on these local binary vectors, the global image vector is obtained. The proposed algorithm provides potential method for large image database retrieval and browsing.

【Abstract】 In medical research and clinical diagnosis, automated or computer-assisted classification and retrieval methods are highly desirable to offset the high cost of manual classification and manipulation by medical experts. To facilitate the decision-making in the health-care and the related areas, in this paper, a two-step content-based medical image retrieval algorithm is proposed. Firstly, in the preprocessing step, the image segmentation is performed to distinguish image objects, and on the basis of the segmentation results, the boundary of each object is extracted to simplify each object feature space; and then in the second step, the binary vector for each object is generated to record their spatial information; and based on these local binary vectors, the global image vector is obtained. The proposed algorithm provides potential method for large image database retrieval and browsing.

【基金】 黑龙江省自然科学基金资助项目
  • 【文献出处】 吉林大学学报(信息科学版) ,Journal of Changchun Post and Telecommunication Institute , 编辑部邮箱 ,2003年S1期
  • 【分类号】TP391.41
  • 【下载频次】22
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