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Journal ArticleDOI

Analysis of focus measure operators for shape-from-focus

TLDR
A methodology to compare the performance of different focus measure operators for shape-from-focus is presented and applied and the selected operators have been chosen from an extensive review of the state-of-the-art.
About
This article is published in Pattern Recognition.The article was published on 2013-05-01. It has received 544 citations till now. The article focuses on the topics: Operator (computer programming) & Focus (optics).

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Citations
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Proceedings Article

Robot vision

TL;DR: A scheme is developed for classifying the types of motion perceived by a humanlike robot and equations, theorems, concepts, clues, etc., relating the objects, their positions, and their motion to their images on the focal plane are presented.
Journal ArticleDOI

Ensemble of CNN for multi-focus image fusion

TL;DR: The obtained experimental results indicate that the proposed CNNs based network is more accurate and have the better decision map without post-processing algorithms than the other existing state of the art multi-focus fusion methods which used many post- processing algorithms.
Journal ArticleDOI

Time–frequency representation using IEVDHM–HT with application to classification of epileptic EEG signals

TL;DR: The proposed TFR based on the improved eigenvalue decomposition of Hankel matrix and Hilbert transform has achieved classification accuracy 100% for the studied EEG database and gives good performance in terms of Renyi entropy measure.
Proceedings ArticleDOI

Focus Is All You Need: Loss Functions for Event-Based Vision

TL;DR: This work presents a collection and taxonomy of twenty two objective functions to analyze event alignment in motion compensation approaches, and concludes that the variance, the gradient and the Laplacian magnitudes are among the best loss functions.
References
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Journal ArticleDOI

A universal image quality index

TL;DR: Although the new index is mathematically defined and no human visual system model is explicitly employed, experiments on various image distortion types indicate that it performs significantly better than the widely used distortion metric mean squared error.
Book

Applied Statistics and Probability for Engineers

TL;DR: Montgomery and Runger's Engineering Statistics text as discussed by the authors provides a practical approach oriented to engineering as well as chemical and physical sciences by providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers.
Book

Robot Vision

TL;DR: Robot Vision as discussed by the authors is a broad overview of the field of computer vision, using a consistent notation based on a detailed understanding of the image formation process, which can provide a useful and current reference for professionals working in the fields of machine vision, image processing, and pattern recognition.
Journal ArticleDOI

The design and use of steerable filters

TL;DR: The authors present an efficient architecture to synthesize filters of arbitrary orientations from linear combinations of basis filters, allowing one to adaptively steer a filter to any orientation, and to determine analytically the filter output as a function of orientation.
Book

JPEG2000 : image compression fundamentals, standards, and practice

TL;DR: This work has specific applications for those involved in the development of software and hardware solutions for multimedia, internet, and medical imaging applications.
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