Towards cognitive image fusion

Toet, Alexander; Hogervorst, Maarten A.; Nikolov, SG; Lewis, J.; Dixon, Timothy D.; Bull, David; Canagarajah, C N

doi:10.1016/j.inffus.2009.06.008

Cited by 60 publications

(23 citation statements)

References 44 publications

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“…Blum [11] set up a new fusion metric that used local contrast in an empirical CSF filtered image. Toet [12] was the first one to discuss the assessment of feature fusion. In his work [12], the subject contour was depicted for both the source and the fused image.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Image Fusion Metric for Intelligent Manufacturing Information System

Yan¹,

Zheng²,

Li³

et al. 2018

dtetr

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Abstract. An image fusion metric is commonly used to evaluate a fusion scheme because subjective evaluation cannot work in an intelligent manufacturing information system. In this study, an objective image fusion metric based on a log-Gabor filter (LGIMF) is presented. This metric can be calculated in five steps: (1) filtering the source and fused images into sub-bands, (2) constructing an ideal synthesis image by applying the maximization principle from the sub-band of the source images, (3) capturing the variation information between the real fused image and the ideal synthesis image in each sub-band, (4) measuring the sub-band fusion visual information by using the signalto-noise ratio model, and (5) weighting the sub-band fusion visual information to determine the overall quality. In our experiment, the proposed fusion metric is compared with other well-known metrics by using a subjective test dataset. We found that the LGIMF was more consistent in subjective perception compared with the other metrics.

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Section: Introductionmentioning

confidence: 99%

“…Toet [12] was the first one to discuss the assessment of feature fusion. In his work [12], the subject contour was depicted for both the source and the fused image. Thus, the result of fusion assessment is apparent.…”

Section: Introductionmentioning

confidence: 99%

A Novel Image Fusion Metric for Intelligent Manufacturing Information System

Yan¹,

Zheng²,

Li³

et al. 2018

dtetr

View full text Add to dashboard Cite

show abstract

“…This further enriched and perfected the cognitive model of thermal infrared image and visible image fusion. In 2010, Toet proposed an image fusion principle based on cognition, in which the reference contour was used to guide the implementation of the image fusion rule [11].…”

Section: Introductionmentioning

confidence: 99%

Cognition-based Fusion Method for Infrared and Visible image

Ma¹,

Zhang²

2018

Proceedings of Information Science and Cloud Computing — PoS(ISCC 2017)

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We proposed an image fusion method based on cognition for infrared and visible images. Multisource image fusion is guided top-down by using the prior knowledge as acquired from deep understanding of multi-source images. As different fusion methods and fusion rules are used for contents of different importance, it makes the image fusion process more free and flexible. Experiments for the presented method are conducted by using infrared and visible image. The fusion results and the image fusion quality indexes are compared with those of the traditional region-based fusion methods. The comparison show the proposed method is far superior to the traditional region-based fusion methods. ISCC2017

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“…Image fusion [1,2] is a technique of computer vision that integrates all relevant and complementary information from different source images into a single composite image without introducing any artifact or noise. The objective of image fusion [3] is to combine information from multiple source images which contains the best relevant information coming from source images and is more suitable for human or machine perception.…”

Section: Introductionmentioning

confidence: 99%

Edge Preserving Image Fusion Based on Contourlet Transform

Khare

Srivastava

Singh

2012

Lecture Notes in Computer Science

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Abstract. Image fusion is an emerging area of research having a number of applications in medical imaging, remote sensing, satellite imaging, target tracking, concealed weapon detection and biometrics. In the present work, we have proposed a new edge preserving image fusion method based on contourlet transform. As contourlet transform has high directionality and anisotropy, it gives better image representation than wavelet transforms. Also contourlet transform represents salient features of images such as edges, curves and contours in better way. So it is well suited for image fusion. We have performed experiments on several image data sets and results are shown for two datasets of multifocus images and one dataset of medical images. On the basis of experimental results, it was found that performance of proposed fusion method is better than wavelet transform (Discrete wavelet transform and Stationary wavelet transform) based image fusion methods. We have verified the goodness of the proposed fusion algorithm by well known image fusion measures (entropy, standard deviation, mutual information (MI) and F AB Q ). The fusion evaluation parameters also imply that the proposed edge preserving image fusion method is better than wavelet transform (Discrete wavelet transform and Stationary wavelet transform) based image fusion methods.

show abstract

Towards cognitive image fusion

Cited by 60 publications

References 44 publications

A Novel Image Fusion Metric for Intelligent Manufacturing Information System

A Novel Image Fusion Metric for Intelligent Manufacturing Information System

Cognition-based Fusion Method for Infrared and Visible image

Edge Preserving Image Fusion Based on Contourlet Transform

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