An image similarity measure method based on mathematical morphology

被引：0
作者：
Zhong Jinrong [1 ]
Zhou Yuwen [2 ]
Lin Jiayu [1 ]
机构：
[1] Natl Univ Def Technol, Sch Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China
[2] 61886 Unit PLA, Beijing 100086, Peoples R China
来源：
INTERNATIONAL SYMPOSIUM ON OPTOELECTRONIC TECHNOLOGY AND APPLICATION 2014: IMAGE PROCESSING AND PATTERN RECOGNITION | 2014年 / 9301卷
关键词：
Image similarity; measurement method; mathematical morphology; image matching;
D O I：
10.1117/12.2069293
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An image similarity measure method is proposed. The similarity measure method based on mathematical morphology, ignores the effect of slight distortion or noise on the image similarity, and retains the influence of distortion or loss of the image similarity. The experimental results show that, while the matching image similarity is not reduced, this similarity measure can reduce the matching of image similarity, increasing decision distance. And it helps to improve the performance of image matching, recognition method.
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页数：7
相关论文
共 13 条
  • [1] Bishnu A, 1999, P 1999 ACM SIGMOD IN, P350
  • [2] A SURVEY OF IMAGE REGISTRATION TECHNIQUES
    BROWN, LG
    [J]. COMPUTING SURVEYS, 1992, 24 (04) : 325 - 376
  • [3] Adaptive degraded document image binarization
    Gatos, B
    Pratikakis, I
    Perantonis, SJ
    [J]. PATTERN RECOGNITION, 2006, 39 (03) : 317 - 327
  • [4] VISUAL-PATTERN RECOGNITION BY MOMENT INVARIANTS
    HU, M
    [J]. IRE TRANSACTIONS ON INFORMATION THEORY, 1962, 8 (02): : 179 - &
  • [5] Distinctive image features from scale-invariant keypoints
    Lowe, DG
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 60 (02) : 91 - 110
  • [6] Natsev A, 2004, IEEE T KNOWL DATA EN, V29, P395
  • [7] Russakoff DB, 2004, LECT NOTES COMPUT SC, V3023, P596
  • [8] Adaptive document image binarization
    Sauvola, J
    Pietikäinen, M
    [J]. PATTERN RECOGNITION, 2000, 33 (02) : 225 - 236
  • [9] Survey over image thresholding techniques and quantitative performance evaluation
    Sezgin, M
    Sankur, B
    [J]. JOURNAL OF ELECTRONIC IMAGING, 2004, 13 (01) : 146 - 168
  • [10] Modified morphological correlation based on bit-map representations
    Shemer, A
    Mendlovic, D
    Shabtay, G
    Garcia-Martinez, P
    Garcia, J
    [J]. APPLIED OPTICS, 1999, 38 (05) : 781 - 787
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