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941
Research on Sports Training Action Image Recognition Based on SDN
Published 2022-01-01“…The SDN architecture is used to integrate the image data transmission and interactive process and to optimize the image processing centralization. …”
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942
Retracted: Computer Medical Image Segmentation Based on Neural Network
Published 2020-01-01“…Image segmentation in medical imaging has long been a problem in radiological image processing. …”
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943
A fuzzy soft planar graph with application in image segmentation
Published 2025-07-01“…Additionally, we demonstrate the applicability of FSPGs in image segmentation and representation. In this context, we propose a model supported by an algorithm for converting a traditional crisp image of the Asakusa Tokyo Pyramid into a fuzzy soft image pyramid. …”
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944
Application of Image Computing in Non-Destructive Detection of Chinese Cuisine
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945
A UAV Image Stitching Method for Complex Urban Environments
Published 2025-07-01“…To address the issues of uneven feature point distribution, environmental interference, and insufficient real-time performance in UAV image stitching in complex urban environments, this paper proposes an improved ORB algorithm based on Gaussian scale-space optimization and dynamic grid division, combined with a global geometric consistency optimization strategy. …”
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946
Research on recognition methods for red tomato image in the natural environment
Published 2021-06-01“…In view of actual situations such as light change, soil, branch and leaf background and fruit overlap in the natural environment, which causing the problem of red tomato recognition during the robotic picking process was not accurate, a tomato image recognition method based on circle fitting algorithm was proposed. …”
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947
Objective method of comparing DNA microarray image analysis systems
Published 2004-06-01“…Many image analysis systems are available for processing the images produced by laser scanning of DNA microarrays. …”
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948
Compressed Sensing Inspired Image Reconstruction from Overlapped Projections
Published 2010-01-01“…The key idea discussed in this paper is to reconstruct an image from overlapped projections so that the data acquisition process can be shortened while the image quality remains essentially uncompromised. …”
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949
Recognition of the finger vascular system using multi‐wavelength imaging
Published 2022-05-01“…Our results confirm that developments in this field are not restricted to image processing algorithms, and that hardware innovations remain relevant.…”
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950
A survey of sand-dust image visual enhancement techniques
Published 2025-01-01“…To better understand the current research progress in the field of sandstorm image processing, this paper elaborates in detail on sandstorm image enhancement algorithms based on traditional technology, sandstorm image restoration algorithms based on atmospheric scattering models, and summarizes data-driven sandstorm image reconstruction algorithms. …”
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951
A survey of sand-dust image visual enhancement techniques
Published 2025-01-01“…To better understand the current research progress in the field of sandstorm image processing, this paper elaborates in detail on sandstorm image enhancement algorithms based on traditional technology, sandstorm image restoration algorithms based on atmospheric scattering models, and summarizes data-driven sandstorm image reconstruction algorithms. …”
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952
Mapping Harmful Algae Blooms: The Potential of Hyperspectral Imaging Technologies
Published 2025-02-01Get full text
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953
Monitoring biological degradation of historical stone using hyperspectral imaging
Published 2024-12-01Get full text
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954
Authenticity Recognition of Rice Varieties Based on Polarization Imaging Technology
Published 2025-04-01Get full text
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955
A Proposed Image Scaling Technique by Using Bezier Curve
Published 2024-11-01“… The process of resizing a digital image using geometrical transformation without changing the quality of image is known as image scaling or image resizing. …”
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956
Performance of segmentation (watershed and meanshift) and image transformation (MNF-laplacian filter) methods for extracting complex coastlines from Pleiades images: the case of th...
Published 2025-07-01“…On cliffs, the MeanShift and Minimum Noise Fraction (Minimal Noise Fraction)-Laplacian filter algorithms perform better. Detecting the coastline on cliffs is complex, due to the shadow of the cliffs caused by the sensor’s acquisition angle, and the over-segmentation of the images. …”
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957
Self-Adaptive Alternating Direction Method of Multipliers for Image Denoising
Published 2024-11-01“…In this study, we introduce a novel self-adaptive alternating direction method of multipliers tailored for image denoising. Our approach begins by formulating a collaborative regularization model that upholds structured sparsity within images while delving into spatial correlations among pixels. …”
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958
Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure
Published 2025-02-01“…In summer 2024, the EUCAIM project released the first prototype of an EU-wide infrastructure, with a comprehensive dashboard integrating applications for dataset discovery, federated search, data access request, metadata harvesting, annotation, secure processing environments and federated processing. Critical relevance statement EUCAIM’s federated infrastructure for cancer image data advances medical research and related AI development in Europe. …”
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959
Velocity field of image points in satellite imagery of planet’s surface
Published 2020-03-01“…Despite this idealization, the derived formula can be used in developing algorithms for remote sensing of the Earth, for building and optimizing the image blurring compensators, for solving the problem of blurred image recovery, and for a number of other problems related to satellite imagery preparation, execution, and processing the results.…”
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960
Multi-scale adversarial diffusion network for image super-resolution
Published 2025-04-01“…On the one hand, this algorithm requires a large number of denoising steps in the sampling process, which seriously limits the inference speed of the model. …”
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