Research on image stitching method based on fuzzy inference

Lu, Jinbo; Huo, Guanqun; Cheng, Jixiang

doi:10.1007/s11042-022-12748-9

Cited by 5 publications

(2 citation statements)

References 28 publications

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“…Panoramic stitching maximizes the resolution of an image in 3D videos that enhance the feasibility of the system. e image stitching process achieves low texture problems and low-resolution problems in 3D videos [10].…”

Section: Introductionmentioning

confidence: 99%

Image Stitching Technology in 3D Film Production Based on Digital Image Processing

Peng¹,

Yu²

2022

International Transactions on Electrical Energy Systems

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Image stitching in 3D film production synchronizes multiple independent frame images as a single high-resolution output. The stitching process is common for displaying a large coverage or shot in a single frame containing distinct images. For improving the realistic accuracy of 3D film images, this manuscript introduces an Itinerant Pixel-Matching-based Stitching Process (IPMSP). The proposed stitching process relies on cross-sectional pixels identified in merging two or more images. Based on the linear cumulative distribution in augmenting images, the homogeneity feature is identified. If the homogeneity is high then the stitching for linear pixels occurs increasing the frame resolution and size. The cumulative distribution is determined using the recurrent neural network in verifying homogeneity and contrast. For the contrast pixels identified, the cross-sectional matching is performed for substituting similar pixels in the missing sections. The process is repeated until the stitching region is the same based on the homogeneity feature and increased dimensions. Therefore, this process is capable of improving accuracy, precision, substitution, and reducing errors and complexity.

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Section: Introductionmentioning

confidence: 99%

Image Stitching Technology in 3D Film Production Based on Digital Image Processing

Peng¹,

Yu²

2022

International Transactions on Electrical Energy Systems

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“…SURVEY OF RECENT METHODS Author Jimbo Lu et al( 2021) [1] Before image alignment author found that using CLHAE algorithm to enhance image contrast can increase the spared of matching points on the object in the low contrast images. To achieve more precise matching points author extracted feature points and matched them through SIFT algorithm firstly and then detected matching points by improved ZNCC algorithm.…”

Section: IIImentioning

confidence: 99%

VR Based Remote Campus Tour

Kadav¹,

Patwari²,

Kalme³

et al. 2023

IJRASET

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We recommend a system called "Virtual Tour of College Infrastructure" that gives a virtual college tour to visitors, such as students, parents, and guests. They may be interested in learning about the facilities and infrastructure offered by the college. For this, students must really travel to the college campus, which will take a lot of their time and effort and cost money for those who live far away. The suggested solution offers a virtual perspective of the infrastructure at the college in order to address this problem. This enables visitors access a certain department or lab from a distance. Additionally, it can be displayed at the College's main gate to assist visitors in finding a certain student, member of staff, or lab by outlining the precise route through the "Search" module. Virtual reality is essentially how this technology operates. Combining two or more photos to create an image panorama is the procedure. The method of producing an image panorama from a collection of photos with overlapped fields is known as image stitching. The process of stitching together photographs is difficult because of issues including noise-corrupted images, indexing a lot of images, high image resolution, parallax, and scene motion. Another difficulty is getting rid of seams that are noticeable. This work applied a feature-based automatic image stitching approach to obtain a broad seamless panorama.

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Heuristic-based image stitching algorithm with automation of parameters for smart solutions

Prokop,

Połap

2024

Expert Systems with Applications

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Research on image stitching method based on fuzzy inference

Cited by 5 publications

References 28 publications

Image Stitching Technology in 3D Film Production Based on Digital Image Processing

Image Stitching Technology in 3D Film Production Based on Digital Image Processing

VR Based Remote Campus Tour

Heuristic-based image stitching algorithm with automation of parameters for smart solutions

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