Optimizing Image Focus for Shape From Focus Through Locally Weighted Non-Parametric Regression
Shape from focus is a passive optical technique that uses multiple images with different focus levels. To compute the sharpness of each pixel in the image sequence, obtained by translating the object plane at a constant step size along the optical axis ...
Hoon-Seok Jang +2 more
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Sampling Based on Kalman Filter for Shape from Focus in the Presence of Noise
Recovering three-dimensional (3D) shape of an object from two-dimensional (2D) information is one of the major domains of computer vision applications. Shape from Focus (SFF) is a passive optical technique that reconstructs 3D shape of an object using 2D
Hoon-Seok Jang +3 more
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Multi-Focus Image Fusion via Clustering PCA Based Joint Dictionary Learning
This paper presents a novel framework based on the non-subsampled contourlet transform (NSCT) and sparse representation (SR) to fuse the multi-focus images.
Yong Yang +6 more
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An analysis of the locality of binary representations in genetic and evolutionary algorithms [PDF]
Mutation and recombination operators play a key role in determining the performance of Genetic and Evolutionary Algorithms (GEAs). Prior work has analyzed the effects of these operators on genotypic variation, often using locality metrics that measure ...
Hrishee Shastri, Eitan Frachtenberg
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Focus Measurement in Color Space for Shape From Focus Systems
Shape from Focus (SFF) has been studied extensively in computer vision for 3D shape and depth recovery. The first stage in SFF methods is to compute the focus value of every pixel by converting the colored images into gray scale and then apply the focus ...
Husna Mutahira +3 more
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Interval Valued Intuitionistic Neutrosophic Soft Set and its Application on Diagnosing Psychiatric Disorder by Using Similarity Measure [PDF]
The primary focus of this manuscript comprises three sections. Initially, we discuss the notion of an interval-valued intuitionistic neutrosophic soft set.
Veerappan Chinnadurai, Albert Bobin
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PERFORMANCE ENHANCEMENT OF MEDICAL IMAGE FUSION BASED ON DWT AND SHARPENING WIENER FILTER
The fusion of multimodal medical images plays an important role in data integration and improving image quality. It has a fundamental role in the accuracy of medical analysis and diagnosis. Despite the recent technological development, medical images may
Nada Jasim Habee
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A new stochastic approach for the approximation of (nonlinear) Lipschitz operators in normed spaces by their eigenvectors is shown. Different ways of providing integral representations for these approximations are proposed, depending on the properties of
Ezgi Erdoğan +1 more
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Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D Sensing
Shape from focus enables microscopic 3D sensing by combining it with a microscope system. However, edge bleeding artifacts of estimated depth easily occur in this environment.
Sang-Ho Park +2 more
doaj +1 more source
Symmetrized and non-symmetrizedasymptotic mean value Laplacian in metric measure spaces [PDF]
The asymptotic mean value Laplacian—AMV Laplacian—extends the Laplace operator from $\mathbb {R}^n$ to metric measure spaces through limits of averaging integrals. The AMV Laplacian is however not a symmetric operator in general.
Andreas Minne, David Tewodrose
semanticscholar +1 more source

