2022
DOI: 10.3390/jimaging8030052
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Qualitative Comparison of Image Stitching Algorithms for Multi-Camera Systems in Laparoscopy

Abstract: Multi-camera systems were recently introduced into laparoscopy to increase the narrow field of view of the surgeon. The video streams are stitched together to create a panorama that is easier for the surgeon to comprehend. Multi-camera prototypes for laparoscopy use quite basic algorithms and have only been evaluated on simple laparoscopic scenarios. The more recent state-of-the-art algorithms, mainly designed for the smartphone industry, have not yet been evaluated in laparoscopic conditions. We developed a s… Show more

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Cited by 8 publications
(3 citation statements)
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“…In the domain of digital surgical pathology, our mNLOG platform, for the first time to the best of our knowledge, provides a truly WSI-competing whole specimen superficial imaging (WSSI) digital ITA solution enabling multicolor imaging of a 1 cm 2 area in <120 s with a total of 86 G bits or 3.6 Gigapixels (24-bit) preserving a submicron digital resolution with no requirement of post-acquisition data/ image processing. It is noted that despite substantial contributions being made towards image/video or panoramic stitching techniques [38][39][40][41][42][43] , feature-based sophisticated algorithms are often not suitable for a large-field high-pixel-rate dynamic microscopy in the context of parallel implementation, distortion compensation, immunity to high-frequency noise, and especially to assist with half-a-second computational complexity for real-time stitching of ultra-high resolution (such as >800 M bit) imaging tiles. To fit our specific need, a Compute Unified Device Architecture (CUDA)-accelerated rapid artifact-compensated 2D largefield mosaic-stitching (rac2D-LMS) approach is streamlined to our large-FOV (≥1 mm 2 ) high-NFOM (>1) multi-channel nonlinear optical laser-scanning and acquisition system.…”
Section: Plain Language Summarymentioning
confidence: 99%
“…In the domain of digital surgical pathology, our mNLOG platform, for the first time to the best of our knowledge, provides a truly WSI-competing whole specimen superficial imaging (WSSI) digital ITA solution enabling multicolor imaging of a 1 cm 2 area in <120 s with a total of 86 G bits or 3.6 Gigapixels (24-bit) preserving a submicron digital resolution with no requirement of post-acquisition data/ image processing. It is noted that despite substantial contributions being made towards image/video or panoramic stitching techniques [38][39][40][41][42][43] , feature-based sophisticated algorithms are often not suitable for a large-field high-pixel-rate dynamic microscopy in the context of parallel implementation, distortion compensation, immunity to high-frequency noise, and especially to assist with half-a-second computational complexity for real-time stitching of ultra-high resolution (such as >800 M bit) imaging tiles. To fit our specific need, a Compute Unified Device Architecture (CUDA)-accelerated rapid artifact-compensated 2D largefield mosaic-stitching (rac2D-LMS) approach is streamlined to our large-FOV (≥1 mm 2 ) high-NFOM (>1) multi-channel nonlinear optical laser-scanning and acquisition system.…”
Section: Plain Language Summarymentioning
confidence: 99%
“…The image stitching method can be classified into two general methods: direct and feature-based. The direct method compares all the pixel intensities of the image with each other, while the feature-based method aims to determine the relationship between images through various features extracted from the processed image [20]- [23].…”
Section: Introductionmentioning
confidence: 99%
“…Image stitching [1] refers to the use of a set of images of the same scene taken from different perspectives to create a single fused image with a wider field of view. It is widely used in multimedia content generation, image analysis/understanding, industrial inspection, and other fields (such as panoramic imaging [2], aerial image generation [3], medical synthetic image generation [4,5], virtual reality [6], remote visual inspection [7], and so on).…”
Section: Introductionmentioning
confidence: 99%