Multi-band images synchronous fusion based on NSST and fuzzy logical inference

Wang, Bin; Zeng, Jianchao; Lin, Suzhen; Bai, Guifeng

doi:10.1016/j.infrared.2019.02.013

Cited by 19 publications

(6 citation statements)

References 44 publications

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“…An education column is set up on the website to provide users with training services for the use skills of multisource information fusion interactive reality technology. Through online interaction, users can learn relevant operation technologies of virtual reality online and immerse themselves in interactive experience, which can better stimulate users' interest and make more effective use of relevant services [14]. In the development process of multisource information fusion interactive virtual reality technology, the technical feature of virtual reality is gradually integrated into the user and application object, becoming more closely connected and finally causing the user of the technology the feeling of "immersion" in the use experience [15].…”

Section: Introductionmentioning

confidence: 99%

Construction of Holographic Immersion Chamber Based on Multisource Information Fusion and Interactive Virtual Reality Technology

Wang

Liu²

2022

Journal of Function Spaces

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Nowadays, many visual artists actively respond to the drastic changes taking place in today’s society, build a communication bridge between real places and virtual places, and use holographic image technology to organically integrate them with each other. We are increasingly shuttling through the network of unbounded space. These spaces have no fixed geographical location. With the help of modern science and technology, they often fall into the field of vision of the viewer. With the development of the times, virtual reality technology is a computer simulation system that can create and experience the virtual world. It mainly uses computers to generate a simulated environment. It is a multisource information fusion interactive virtual reality technology to help users immerse themselves in the virtual environment. This paper studies the holographic immersion chamber based on multisource information fusion interactive virtual reality technology. The approximation index of the transformation matrix calculated by the registration algorithm based on SIFT+MSA is 1.7073, which is less than 4.0017 obtained by SIFT matching algorithm. It can be seen that the error of CCD image registration parameters calculated by this algorithm is smaller. In the process of the development of multisource information fusion interactive virtual reality technology, the technical feature of virtual reality is gradually integrated into the user and application object, becoming more closely connected and finally causing the user of the technology the feeling of “immersion” in the use experience.

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Section: Introductionmentioning

confidence: 99%

Construction of Holographic Immersion Chamber Based on Multisource Information Fusion and Interactive Virtual Reality Technology

Wang

Liu²

2022

Journal of Function Spaces

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“…The fuzzy logic-based fusion rule is often used to cope with blurry image fusion. As a fusion rule, it could be further combined with DWT [117], NSCT [35,118,119] and NSST [120] for medical imaging. In this application, DWT/NSCT/NSST was performed on source images to obtain high-and low-frequency sub-bands.…”

Section: Fuzzy Logic Based Methodsmentioning

confidence: 99%

“…In this application, DWT/NSCT/NSST was performed on source images to obtain high-and low-frequency sub-bands. Next, a logic-based fusion rule was applied for the fusion of high [35,117,118] or low [120] sub-bands, and for the enhancing of the global contrast of the image [119]. The Fuzzy logic algorithm could overcome defects of losing edge information and color distortion in DWT/NSCT/NSST to improve image contrast.…”

Section: Fuzzy Logic Based Methodsmentioning

confidence: 99%

Application of Image Fusion in Diagnosis and Treatment of Liver Cancer

Zhu

2020

Applied Sciences

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With the accelerated development of medical imaging equipment and techniques, image fusion technology has been effectively applied for diagnosis, biopsy and radiofrequency ablation, especially for liver tumor. Tumor treatment relying on a single medical imaging modality might face challenges, due to the deep positioning of the lesions, operation history and the specific background conditions of the liver disease. Image fusion technology has been employed to address these challenges. Using the image fusion technology, one could obtain real-time anatomical imaging superimposed by functional images showing the same plane to facilitate the diagnosis and treatments of liver tumors. This paper presents a review of the key principles of image fusion technology, its application in tumor treatments, particularly in liver tumors, and concludes with a discussion of the limitations and prospects of the image fusion technology.

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“…where c (x, y) is the coefficient mean of centered on the pixels (x, y). α is the brightness value of the visual adjustment, and α ∈ (0.6, 0.7) [30] and α = 0.65 are used in this paper. Taking RLV as the guide map, the guided image coefficients Gf A and Gf B are obtained by the guided filter (GF) [31].…”

Section: Smlf Energymentioning

confidence: 99%

Side-Scan Sonar Image Fusion Based on Sum-Modified Laplacian Energy Filtering and Improved Dual-Channel Impulse Neural Network

et al. 2020

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The operation mode of a single strip provides incomplete side-scan sonar image in a specific environment and range, resulting in the overlapping area between adjacent strips often with imperfect detection information or inaccurate target contour. In this paper, a sum-modified Laplacian energy filtering (SMLF) and improved dual-channel pulse coupled neural network (IDPCNN) are proposed for image fusion of side-scan sonar in the domain of nonsubsampled contourlet transform (NSCT). Among them, SMLF energy is applied to extract the fusion coefficients of the low frequency sub-band, which combines the characteristics of energy information, human visual contrast, and guided filtering to eliminate the pseudo contour effect of block flow. In addition, the IDPCNN model, which utilizes the average gradient, soft limit function, and novel sum-modified Laplacian (NSML) to adaptively represent the corresponding excitation parameters, is applied to improve the depth and activity of pulse ignition, so as to quickly and accurately select the image coefficients of the high frequency sub-band. The experimental results show that the proposed method displays fine geomorphic information and clear target contour in the overlapping area of adjacent strips. The objective index values are generally optimal, which reflect the information of image edge, clarity, and overall similarity.

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Multi-band images synchronous fusion based on NSST and fuzzy logical inference

Cited by 19 publications

References 44 publications

Construction of Holographic Immersion Chamber Based on Multisource Information Fusion and Interactive Virtual Reality Technology

Construction of Holographic Immersion Chamber Based on Multisource Information Fusion and Interactive Virtual Reality Technology

Application of Image Fusion in Diagnosis and Treatment of Liver Cancer

Side-Scan Sonar Image Fusion Based on Sum-Modified Laplacian Energy Filtering and Improved Dual-Channel Impulse Neural Network

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