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Research on Image Retrieval Method of Medical Equipment Based On Multi Feature Hierarchical Fusion
| Content Provider | Scilit |
|---|---|
| Author | Du, Debiao Yang, Zhixiong Xia, Fei Wang, Yun |
| Copyright Year | 2018 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering To solve the problem of medical equipment image retrieval, an image retrieval method based on multi-feature hierarchical fusion is proposed. This method uses color moments to calculate the color features of the image, LBP operator to calculate the texture features of the image, Fourier descriptor to calculate the shape features of the image, through hierarchical weighted fusion method to fuse the three types of features within a similarity measure, and finally form the basis for retrieval and judgment. Based on the experimental results of endoscopic images and CT images, the results confirm the effectiveness of the proposed method. With the increasing requirement of recall rate, the precision of the proposed method is obviously higher than that of the three single feature retrieval methods, which is suitable for medical image retrieval. |
| Related Links | http://iopscience.iop.org/article/10.1088/1757-899X/452/4/042086/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/452/4/042086 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 4 |
| Volume Number | 452 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-12-13 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Industrial Engineering Image Retrieval Retrieval Method Hierarchical Fusion Multi Feature |
| Content Type | Text |
| Resource Type | Article |
