Performance evaluation approach to image fusion based on ordering approximate to ideal solution

被引：0

作者：

Zhou P.-C. ^{[1
]}

Wang F. ^{[1
]}

Cui X.-X. ^{[1
]}

Xue M.-G. ^{[1
]}

机构：

[1] Department of Information Engineering, Artillery Academy of PLA

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2011年 / 33卷 / 03期

关键词：

Image fusion; Ordering approximate to ideal solution; Performance evaluation;

D O I：

10.3969/j.issn.1001-506X.2011.03.42

中图分类号：

学科分类号：

摘要：

The evaluation issue of fused images is regarded as a multi-attribute decision-make problem, thus a novel synthesis approach using the technique for ordering approximate to ideal solution is proposed. By introducing the concept of ideal fused image, negative ideal fused image, combining the estimator's prior knowledge with quantitative evaluation index, and taking distance measurement as the evaluation criterion for different fused images, the overall performance evaluation of the fused images is implemented, which gives not only universal performance but also required special performance evaluation. Experimental analysis shows that the proposed method performs well on validity, real-time, precision, objectivity and versatility.

引用

页码：681 / 684

页数：3

共 16 条

[1] Goshtasby A.A., Nikolov S., Image fusion: Advances in the state of the art, Information Fusion, 8, 2, pp. 114-118, (2007)
[2] Dixon T.D., Canga E.F., Noyes J.M., Et al., Methods for the assessment of fused images, ACM Trans. on Applied Perception, 3, 3, pp. 309-332, (2006)
[3] Petrovic V., Subjective tests for image fusion evaluation and objective metric validation, Information Fusion, 8, 4, pp. 208-216, (2007)
[4] Muller A.C., Narayanan S., Cognitively-engineered multisensory image fusion for military applications, Information Fusion, 10, 6, pp. 137-149, (2009)
[5] Toet A., Franken E.M., Perceptual evaluation of different image fusion schemes, Displays, 24, 1, pp. 25-37, (2003)
[6] Yan L.P., Liu B.S., Zhou D.H., Novel image fusion algorithm with novel performance evaluation method, Systems Engineering and Electronics, 29, 4, pp. 509-513, (2007)
[7] Zheng Y., Essock E.A., Hansen B.C., Et al., A new metric based on extended spatial frequency and its application to DWT based fusion algorithms, Information Fusion, 8, 4, pp. 177-192, (2007)
[8] Yang C., Zhang J.Q., Wang X.R., Et al., A novel similarity based quality metric for image fusion, Information Fusion, 9, 5, pp. 156-160, (2008)
[9] Xydeas C.S., Petrovi V., Objective image fusion performance measure, Electronics Letters, 36, 4, pp. 308-309, (2000)
[10] Chen H., Varshney P.K., A human perception inspired quality metric for image fusion based non regional information, Information Fusion, 8, 4, pp. 193-207, (2007)

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