An image stitching algorithm for the mineralogical analysis

Ro, SungHyok; Kim, Se‐Hun

doi:10.1016/j.mineng.2021.106968

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…This method solved the small observation range of microscopes through IS. The experimental outcomes denoted that this method was very effective in real-time mineralogy analysis [12].…”

Section: Related Workmentioning

confidence: 89%

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Image Stitching Method and Implementation for Immersive 3D Ink Element Animation Production

Yang,

SalmiJamali,

Husain

et al. 2023

IJACSA

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As the growth of immersive 3D animation, its application in ink element animation is constantly updating and advancing. However, the current immersive 3D ink element animation production also has the problem of lack of innovation and repeated development, so the research innovatively designs and develops the image stitching method for immersive 3D ink element animation production. The method is designed through stereo matching algorithm and scale-invariant feature transform algorithm, and the stereo matching algorithm is optimized with the weighted median filtering method based on the guide map. In addition, the study also designs the specific implementation of this method from different functional modules. The experimental results show that on four different datasets, the error percentages of the optimized stereo matching algorithm in non-occluded areas are 0.3885%, 0.4743%, 1.6848%, and 1.34%, respectively. The error percentages of all areas are 0.8316%, 0.8253%, 4.3235%, and 4.1760%, respectively. The research and design of image stitching methods can be applied in other fields and has good practical significance.

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“…This method solved the small observation range of microscopes through IS. The experimental outcomes denoted that this method was very effective in real-time mineralogy analysis [12].…”

Section: Related Workmentioning

confidence: 89%

“…If P P is the parallax of a point in virtual space, its expression derived from the off axis model is shown in Eq. (12).…”

Section:  mentioning

confidence: 99%

Image Stitching Method and Implementation for Immersive 3D Ink Element Animation Production

Yang,

SalmiJamali,

Husain

et al. 2023

IJACSA

View full text Add to dashboard Cite

show abstract

“…During the image collection stage, we utilized the Canon EOS 200D camera to capture 28-32 indoor and outdoor images of buildings and exam rooms at each location to obtain the optimal results. Following the data collection, we merged the images using the PTGui application's image stitching method [30]- [32], as shown in Figure 1. This process enabled us to create new images with a 360-degree view.…”

Section: Methodsmentioning

confidence: 99%

Designing a Virtual Campus Tour using Image Stitching Techniques to Provide Information on College Entrance Test

Utama,

Wijanarko,

Alfarobi

2023

join

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The University of Bengkulu administers college entrance exams, however some test takers still require assistance in locating the correct room, despite the building being marked. It is crucial to avoid errors in finding the right test room, as it can cause potential students to waste valuable time. Therefore, a more precise and practical solution is necessary to provide information on test locations. This study designs a location-based virtual tour that offers a 360-degree view, providing information on the location of each building and the conditions inside and outside each test room. The virtual tour encompasses 81 buildings, including test rooms, with 28 to 32 images captured at each location, then stitched together using image stitching techniques. The goal of the virtual tour is to create a comprehensive view of the test location and provide more detailed information on the room's condition. Furthermore, the usability of this virtual tour was tested on 140 high school students as potential test participants, utilizing the System Usability Scale (SUS) to evaluate its effectiveness, resulting in a score of 72.19. In other words, the virtual tour was found to be an effective tool in helping users understand the test location.

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“…Mineralogical analysis is a further use of the image stitching method [19]. This research takes overlapping images of the rocks with the camera.…”

Section: Image Stitching Applicationsmentioning

confidence: 99%

Parking Space Availability Detections from Two Overlapping Cameras Using YOLOv5 and Image Stitching Methods

2023

IJIES

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Capturing a large parking lot's entire area requires the installation of more than one camera. In a parking availability detection system, it is crucial to identify the overlapping area recorded by two cameras. This study aims to identify the overlapping area on two cameras using the image stitching method. The you only look once version 5 (YOLOv5) method is then used to determine whether parking spaces on the stitched image are empty or occupied by cars. The experiments using six YOLOv5 configurations and three different image stitching methods showed that the system could detect the availability of parking slots with the best mean average precision (mAP) score of 0.953. The total number of parking spaces before and after stitching is also compared in this study to demonstrate the accuracy of the number of overlapping parking slots compared to the actual number.

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An image stitching algorithm for the mineralogical analysis

Cited by 7 publications

References 11 publications

Image Stitching Method and Implementation for Immersive 3D Ink Element Animation Production

Image Stitching Method and Implementation for Immersive 3D Ink Element Animation Production

Designing a Virtual Campus Tour using Image Stitching Techniques to Provide Information on College Entrance Test

Parking Space Availability Detections from Two Overlapping Cameras Using YOLOv5 and Image Stitching Methods

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