Image fusion algorithm assessment based on feature measurement

被引：0
|
作者：
Zhao, Jiying [1 ]
Laganiere, Robert [1 ]
Liu, Zheng [2 ]
机构：
[1] Univ Ottawa, Sch Informat Technol & Engn, 800 King Edward Ave, Ottawa, ON K1N 6N5, Canada
[2] Natl Res Council Canada, Inst Aerosp Res, Ottawa, ON K1A0R6, Canada
来源：
ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 2, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new metric to assess the performance of the image fusion algorithm. The proposed metric is based on image phase congruency, which provides an absolute measurement of image feature with a numeric value ranging from zero to one. By comparing the local cross-correlation of corresponding phase congruence maps of input images and fusion output, the quality of the fused result is assessable without a perfect reference. The preliminary experimental results on multi-focused image pairs demonstrate the efficiency of this approach.
引用
收藏
页码：701 / +
页数：2
相关论文
共 50 条
  • [1] An image fusion algorithm Based on Image texture energy feature
    Li, Yue-e
    Han, Yongfeng
    Wang, Qiang
    [J]. 2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 865 - 868
  • [2] Image Retrieval Algorithm Based on Feature Fusion and Bidirectional Image Matching
    Ji, Kaixuan
    Guo, Chuan
    Zou, Shengfu
    Gao, Yang
    Zhao, Hongwei
    [J]. PROCEEDINGS OF THE 2015 4TH NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING ( NCEECE 2015), 2016, 47 : 1634 - 1639
  • [3] Performance assessment of combinative pixel-level image fusion based on an absolute feature measurement
    Zhao, Jiying
    Laganiere, Robert
    Liu, Zheng
    [J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2007, 3 (6A): : 1433 - 1447
  • [4] Image steganalysis based on feature fusion by improved boosting feature selection algorithm
    [J]. Zhang, M.-Q. (api_zmq@126.com), 1600, Board of Optronics Lasers (25):
  • [5] Selective Feature Fusion Based Adaptive Image Segmentation Algorithm
    Li, Qianwen
    Wei, Zhihua
    Shen, Wen
    [J]. ADVANCES IN MULTIMEDIA, 2018, 2018
  • [6] An Image Quality Assessment Algorithm for Palm-dorsa Vein Based on Multi-feature Fusion
    Cui Jianjiang
    Li Qi
    Jia Xu
    [J]. MEASUREMENT AND CONTROL OF GRANULAR MATERIALS, 2012, 508 : 96 - +
  • [7] Image Feature Analysis and Dynamic Measurement of Plantar Pressure Based on Fusion Feature Extraction
    Zou, Ji
    Zhang, Chao
    Ma, Zhongjing
    Yu, Lei
    Sun, Kaiwen
    Liu, Tengfei
    [J]. TRAITEMENT DU SIGNAL, 2021, 38 (06) : 1829 - 1835
  • [8] Feature extraction and measurement algorithm based on color in image database
    Nong, Zhonghai
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (04) : 3885 - 3891
  • [9] Remote sensing image fusion algorithm based on multi-feature
    Wang, Feng
    Cheng, Yongmei
    Li, Song
    Mu, Honglei
    Li, Ludong
    [J]. Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2015, 33 (03): : 489 - 494
  • [10] Infrared polarization and intensity image fusion algorithm based on the feature transfer
    Zhang L.
    Yang F.B.
    Ji L.
    [J]. Automatic Control and Computer Sciences, 2018, Pleiades journals (52) : 135 - 145
12345