Results 11 to 20 of about 8,371,948 (295)
Using multi-focus group method as an effective tool for eliciting business system requirements: Verified by a case study. [PDF]
PLoS One, 2023 This research aims to explore the multi-focus group method as an effective tool for systematically eliciting business requirements for business information system (BIS) projects.
Wu RMX +19 more
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The automatic focus segmentation of multi-focus image fusion [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2022 Multi-focus image fusion is a method of increasing the image quality and preventing image redundancy. It is utilized in many fields such as medical diagnostic, surveillance, and remote sensing. There are various algorithms available nowadays.
K. Hawari, Ismail Ismail
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A Fast Method of Cell Image Fusion Based on Content Analysis
Journal of Harbin University of Science and Technology, 2021 The cells under the microscope are not in the same focal plane due to adhesion and overlap，and image fusion is required to obtain a clear image. The existing method is inefficient to fuse the whole image.
JIAN Fu-rong +3 more
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FATE MAPPING MULTI-FOCUS PHENOTYPES [PDF]
Genetics, 1981 ABSTRACT A central assumption used in the genetic fate mapping of anatomical sites responsible for certain mutationally induced abnormalities is that a single pair of bilaterally symmetric sites on the blastoderm gives rise to structures that control the expression of that abnormality. We report a new model that is not so constrained and
J, Arnold, D R, Kankel
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Advances in Mechanical Engineering, 2023 Motivated by novel developments in smart non-Newtonian thermal duct systems, a theoretical study has been presented in this article for electro-magneto-hydrodynamic (EMHD) buoyancy-driven flow of a fourth-grade viscoelastic fluid in a vertical duct with ...
Lijun Zhang +4 more
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Multi Focus Image Fusion Using Statistical Approaches [PDF]
Engineering and Technology Journal, 2010 Pictures of the long focal lengths cameras, suffer from the problem of limiteddepth of field. Consequently, it is often difficult to obtain good focus for allobjects in the picture.
Rana F. Ghani, Abdulameer A. Kareem
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CFNet: Context fusion network for multi‐focus images
IET Image Processing, 2022 Multi‐focus image fusion aims to generate a clear image by fusing multiple source images. Existing deep learning‐based fusion methods often neglect the context information resulting in the loss of detail information.
Kang Zhang +3 more
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Multi‐focus image fusion evaluation based on jointly sparse representation and atom focus measure
IET Image Processing, 2021 Multi‐focus image fusion (MFIF) tries to combine images with different in‐focus regions and get a composite image that is in focus everywhere. Although many new MFIF algorithms based on various new representation models have been proposed in recent years,
Yanxiang Hu +3 more
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Fast Multi-Focus Image Fusion Using Inner Channel Prior
IEEE Access, 2021 In this paper, we propose a simple but effective sharpness prior—inner channel prior—to detect the focused area of multi-focus images. The inner channel prior is a kind of location feature of natural image sharpness.
Tingna Kuang, Feihong Yu, Xuxiang Ni
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IET Image Processing, 2023 In this paper, a novel conditional focus probability learning model, termed MCNN, is proposed for multi‐focus image fusion (MFIF). Given a pair of source images, their conditional focus probabilities can be generated by using the well‐trained MCNN, which
Chengchao Wang +4 more
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