ASPG Menu
search

American Scientific Publishing Group

verified Journal

Pure Mathematics for Theoretical Computer Science

ISSN
Online: 2995-3162
Frequency

Continuous publication

Publication Model

Open access journal. All articles are freely available online with no APC.

Pure Mathematics for Theoretical Computer Science
Full Length Article

Volume 1Issue 1PP: 17-31 • 2023

Align and fusion two thermal and visual images

Barbara Charchekhandra 1*
1Jadavpur University, Department Of Mathematics, Kolkata, India
* Corresponding Author.
Received: April 20, 2023 Revised: June 19, 2023 Accepted: July 25, 2023

Abstract

Observation and detection in different environments and weather conditions requires the use of multiple imaging methods in different spectral fields (millimeter, IR, visual, ultraviolet), where the merging process collects useful information from each spectral field and presents it in a single image. Fusion requires scene matching (zoom, rotation, shift). This article forms a good basis for real-time video image alignment and fusion, with a special focus on pixel-level fusion. In this work, we applied the affine transformation to align two images with an accuracy of up to one pixel, and then we applied several images fusion algorithms based on summing, average, linear summation, or taking the maximum or minimum values of the pixel values, and the results of applying linear addition and values algorithms were The pixels are great compared to other methods.

 

Keywords

Fusion visual image fusion algorithm pixel-level fusion

References

[1]. ROBINSON H.,1869-Pictorial Effect in Photography. Hints on Composition and Chiaroscuro for Photographers. Piper & Carter, London, PP 288.

[2]. PA;MER J., RYAN D., TINKLER R., CRESWIK H., 1993- Assessment of image fusion in a Night pilotage system.

Multisensors and Sensor Fusion. Symposium conducted at North Atlantic Treaty Organization, Brussels Belgium, PP 241.

[3]. BOYCE S., POLLATSEK A., 1992-An exploration of the effects of scene context on object identification. In K. Rayner. Eye Movements and Visual Cognition, New York, PP 23.

[4]. POHL C., VAN GENDEREN J., 1998-Multisensor image fusion in remote sensing: concepts, methods and applications. int. j . remote sensing, Vol.19, PP 33.

[5]. SIMONE G., FARINA A., MORABITO F., SERPICO B., BRUZZONE L., 2002- Image fusion techniques for remote sensing applications. Information Fusion. Vol.3, PP 26.

[6]. PATIAS P., 2002- Medical imaging challenges photogrammetry. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 56, No.5-6, PP. 295-310

[7]. EL-GAMAL F., ELMOGY M., 2015-Current Trends in Medical Image Registration and Fusion. Egyptian Informatics Journal, Egypt , PP. 99-124.

[8]. PAJARES G., Manuel de la Cruz J., 2004- A wavelet- based image fusion tutorial. Pattern Recognition Society, Spain, PP 18.

[9]. CHETAN K., SOLANKI M., 2011-Pixel based and Wavelet based Image fusion Methods with their Comparative Study. National Conference on Recent Trends in Engineering & Technology, PP 7.

[10]. PIELLA G. 2003- A general framework for multiresolution image fusion: from pixels to regions. Information Fusion , PP 259 – 280.

[11]. CONSTANTIONS S., PATTICHIS M., MICHELI T., 2001- Medical imaging fusion applications: An overview, Signals, Systems and Computers. Conference Record of the Thirty-Fifth Asilomar, PP 1263.

[12]. DEEPALI A., DATTATRAYA S., 2011-Wavelet based image fusion using pixel based maximum selection rule. International Journal of Engineering Science and Technology , PP 7.

[13]. VEKKOT S., SHUKLA P., 2009-A Novel Architecture for Wavelet based Image Fusion. World Academy of Science Engineering and Technology, PP6.

[14]. KADYROV A., PETROU M., 2004-Affine parameter estimation from the trace transform. Electrical and Electronic Engineering Department, Imperial College, London, PP35.

[15]. MONDAL P., BISWAL K., BANERJEE S., 2012-Acceleration of Affine Transform for Multiplane Image Stabilization in Digital Camera. International Journal of Computer and Electrical Engineering, PP 5.
[16]. Ghali S.2008-Introduction to Geometric Computing. Springer Verlag, London, PP43.

Cite This Article

Choose your preferred format

format_quote
Charchekhandra, Barbara. "Align and fusion two thermal and visual images." Pure Mathematics for Theoretical Computer Science, vol. Volume 1, no. Issue 1, 2023, pp. 17-31. DOI: https://doi.org/10.54216/PMTCS.010102
Charchekhandra, B. (2023). Align and fusion two thermal and visual images. Pure Mathematics for Theoretical Computer Science, Volume 1(Issue 1), 17-31. DOI: https://doi.org/10.54216/PMTCS.010102
Charchekhandra, Barbara. "Align and fusion two thermal and visual images." Pure Mathematics for Theoretical Computer Science Volume 1, no. Issue 1 (2023): 17-31. DOI: https://doi.org/10.54216/PMTCS.010102
Charchekhandra, B. (2023) 'Align and fusion two thermal and visual images', Pure Mathematics for Theoretical Computer Science, Volume 1(Issue 1), pp. 17-31. DOI: https://doi.org/10.54216/PMTCS.010102
Charchekhandra B. Align and fusion two thermal and visual images. Pure Mathematics for Theoretical Computer Science. 2023;Volume 1(Issue 1):17-31. DOI: https://doi.org/10.54216/PMTCS.010102
B. Charchekhandra, "Align and fusion two thermal and visual images," Pure Mathematics for Theoretical Computer Science, vol. Volume 1, no. Issue 1, pp. 17-31, 2023. DOI: https://doi.org/10.54216/PMTCS.010102
Digital Archive Ready