Comparing Dissimilarity Measures for Content-Based Image Retrieval-Reference-Cited by-同舟云学术

Comparing Dissimilarity Measures for Content-Based Image Retrieval

Published: Issue: Volume: Page:44-50
ISSN:
Container-title:Information Retrieval Technology
language:
Short-container-title:

Author:

Liu Haiming,Song Dawei,Rüger Stefan,Hu Rui,Uren Victoria

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-68636-1_5.pdf

Reference13 articles.

1. Chen, C.-C., Chu, H.-T.: Similarity measurement between images. In: Proceedings of the 29th Annual International Computer Software and Applications Conference (COMPSAC 2005), IEEE, Los Alamitos (2005)

2. Geman, D., Geman, S., Graffigne, C., Dong, P.: Boundary Detection by Constrained Optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(7), 609–628 (1990)

3. Lecture Notes in Computer Science;P. Howarth,2005

4. Kokare, M., Chatterji, B., Biswas, P.: Comparison of similarity metrics for texture image retrieval. In: Proceeding of IEEE Conf. on Convergent Technologies for Asia-Pacific Region, vol. 2, pp. 571–575 (2003)

5. Luke, B.T.: Pearson’s correlation coefficient. Online (1995)

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review on Pneumonia Image Detection: A Machine Learning Approach;Human-Centric Intelligent Systems;2022-05-04

2. Review: Automatic Image Annotation for Semantic Image Retrieval;Lecture Notes in Computer Science;2018

3. Content-Based Image Retrieval in Augmented Reality;Advances in Intelligent Systems and Computing;2017

4. Matching Measures in the Context of CBIR: A Comparative Study in Terms of Effectiveness and Efficiency;Advances in Intelligent Systems and Computing;2017

5. Similarity Measures and Performance Evaluation;Content-Based Image Retrieval;2017