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Nonparametric Multi-focus Analysis for Categorical Variables

Communications in Statistics - Theory and Methods, 2004
Abstract In this work, we present a new nonparametric procedure which is useful for testing independence in distribution for categorical variables between two or more populations. The classically adopted solution is the χ2 test for the contingency table of observed frequencies; this solution is known to lack in power in case of cell with low expected ...
FINOS, LIVIO, SALMASO, LUIGI
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Fence Removal from Multi-focus Images

2010 20th International Conference on Pattern Recognition, 2010
When an image of a scene is captured by a camera through a fence, a blurred fence image interrupts objects in the scene. In this paper, we propose a method for a fence removal from the image using multiple focusing. Most of previous methods interpolate the interrupted regions by using information of surrounding textures.
Atsushi Yamashita   +2 more
openaire   +1 more source

Fusion of multi-focus images with registration inaccuracies

Signal, Image and Video Processing, 2016
Image fusion combines complementary information for several input images. To obtain useful information from two misaligned images, registration is required. A hybrid textural registration-based multi-focus image fusion scheme is proposed. The Gabor filtering with specific frequency and orientation is used to extract different texture features from the ...
Attiq Ahmad   +5 more
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A novel method for multi-focus image fusion

2009 16th IEEE International Conference on Image Processing (ICIP), 2009
Digital cameras often suffer from limited depth-of-field which results in blurring parts of the captured image. While, in some applications, partial blurring of the scene might be desired, capturing all-in-focus images is usually of main interest. In this paper we describe a method for multi-focus image fusion able to provide a sharp image from a set ...
Radu Ciprian Bilcu   +2 more
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Dense Multi-focus Fusion Net: A Deep Unsupervised Convolutional Network for Multi-focus Image Fusion

2019
In this paper, we introduce a novel unsupervised deep learning (DL) method for multi-focus image fusion. Existing multi-focus image fusion (MFIF) methods based on DL treat MFIF as a classification problem with a massive amount of reference images to train networks.
Hafiz Tayyab Mustafa   +4 more
openaire   +2 more sources

A lightweight scheme for multi-focus image fusion

Multimedia Tools and Applications, 2018
The aim of multi-focus image fusion is to fuse the images taken from the same scene with different focuses so that we can obtain a resultant image with all objects in focus. However, the most existing techniques in many cases cannot gain good fusion performance and acceptable complexity simultaneously.
Xin Jin 0005   +6 more
openaire   +1 more source

Multi-focus ultrasonic transducer

Ferroelectrics, 1983
Abstract An ultrasonic transducer concept is described where a plurality of different focal lengths, within a unitary structure, are the result of combining the one-dimensional focusing by individual zones of a piezoelectric spiral-shaped cylindrical surface with orthogonal focusing due to individual Fresnel zone electrode patterns.
openaire   +1 more source

Multi-focus image fusion using PCNN

Pattern Recognition, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhaobin Wang, Yide Ma, Jason Gu
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Multi-focus ultrasound lens

The Journal of the Acoustical Society of America, 1998
The focal length of an acoustic ultrasound transducer is made variable by shaping the focusing element positioned over the transducer. The focusing means consists of a non-uniform focusing element whereby the transducer can be manipulated either electronically or mechanically to optimize the depth of focus for the area of interest.
openaire   +1 more source

Salience Preserving Multi-Focus Image Fusion

Multimedia and Expo, 2007 IEEE International Conference on, 2007
This paper proposes a novel multi-focus image fusion algorithm. Different from traditional decision map based methods, our algorithm is based on salience preserving gradient, which can better emphasize the structure details of sources while preserving the color consistency.
Richang Hong   +5 more
openaire   +2 more sources

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