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Comparison of Similarity Measurement Metrics on Medical Image Data | |
Samantaray, Aswini. K.; Rahulkar, Amol D. | |
通讯作者 | Samantaray, AK (corresponding author), Natl Inst Technol Goa, Dept EEE, Veling, Goa, India. |
会议名称 | 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) |
会议日期 | JUL 06-08, 2019 |
会议地点 | IIT Kanpur, Kanpur, INDIA |
英文摘要 | Similarity measurement plays an important role to solve many pattern recognition problems such as classification, clustering and particularly the content based image retrieval problems. In this paper, a detailed comparison of 10 similarity measures has been presented for medical image retrieval. Different types of medical images from databases such as NEMA, OASIS and EXACT09 are used to evaluate the performance. Features of all the medical images are extracted using Log-Gabor wavelet. The effectiveness of all the distance metrics are investigated and tested on more than 800 medical images from the databases. It is observed from the experimental results that the retrieval performance can be improved by the distance measures like Bray- Curtis and Canberra distance metric as compared to other existing distance based approach. |
英文关键词 | Log Gabor wavelet Features extraction Similarity measurement Image retrieval |
来源出版物 | 2019 10TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT) |
ISSN | 2162-7665 |
出版年 | 2019 |
ISBN | 978-1-5386-5906-9 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
收录类别 | CPCI-S |
WOS记录号 | WOS:000525828100277 |
WOS类目 | Computer Science, Hardware & Architecture ; Telecommunications |
WOS研究方向 | Computer Science ; Telecommunications |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/370082 |
作者单位 | [Samantaray, Aswini. K.; Rahulkar, Amol D.] Natl Inst Technol Goa, Dept EEE, Veling, Goa, India |
推荐引用方式 GB/T 7714 | Samantaray, Aswini. K.,Rahulkar, Amol D.. Comparison of Similarity Measurement Metrics on Medical Image Data[C]:IEEE,2019. |
条目包含的文件 | 条目无相关文件。 |
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