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A Novel Euler's Elastica based Segmentation Approach for Noisy Images via using the Progressive Hedging Algorithm
[article]
2019
arXiv
pre-print
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Euler's Elastica based unsupervised segmentation models have strong capability of completing the missing boundaries for existing objects in a clean image, but they are not working well for noisy images ...
This paper aims to establish a Euler's Elastica based approach that properly deals with random noises to improve the segmentation performance for noisy images. ...
The reason is that in these models there exists a one-toone mapping relationship between the parameters to be evaluated and the noisy images with some probability density distribution. ...
arXiv:1902.07402v1
fatcat:roaj3b3zmjhg5mxm7idl6rqqhy
Software toolkit for evaluating infrared imaging seeker
2011
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII
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Modern infrared imaging seekers can nowadays deal with higher resolution and less noisy sensor images. ...
The testing of new image processing or tracking algorithms requires a fitted set of relevant sensor images. ...
The following sections will introduce the software elements that have been used for the development of a toolkit to evaluate infrared imaging seeker. ...
doi:10.1117/12.884487
fatcat:7fw7nibjkbefbpx75sbglnn2ou
Augmented Reality for Art, Design and Cultural Heritage—System Design and Evaluation
2009
EURASIP Journal on Image and Video Processing
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For AR, fast and accurate measuring of head motions is crucial. ...
We made a head-pose tracker for the HMD that uses error-state Kalman filters to fuse data from an inertia tracker with data from a camera that tracks visual markers. ...
Acknowledgments This work was made possible by the SIA-RAAK projects Visualization Techniques for Art and Design (2006)(2007) and Interactive Visualization Techniques for Art and Design (2007)(2008)(2009 ...
doi:10.1155/2009/716160
fatcat:ko7nsccp7vf4toeac5w3ktgkdm
Evaluation of a segmentation algorithm designed for an FPGA implementation
2013
Image and Signal Processing for Remote Sensing XIX
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One fundamental part for image evaluation is image segmentation. It is a basic tool to extract spatial image information which is very important for many applications such as object detection. ...
The most common way for evaluating the performance of a segmentation method is still subjective evaluation, in which human experts determine the quality of a segmentation. ...
(a) (b) (c) (d) (e)
IMAGE SEGMENTATION EVALUATION
Goals and concepts An image segmentation evaluation is important for a later user and for the developer. ...
doi:10.1117/12.2028660
fatcat:i7gt7lumsbfjfo5xlt3sfxq2x4
Style-independent document labeling: design and performance evaluation
2003
Document Recognition and Retrieval XI
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We then describe a performance evaluation method for quantitatively evaluating our algorithm and characterizing its error distributions. ...
Currently, a rule-based algorithm (called ZoneCzar) is used for labeling important bibliographical fields (title, author, affiliation, and abstract) on medical journal article page images. ...
We then evaluate our algorithm using the generated features on a test dataset of 49 page images from different articles of the same 7 medical journals. ...
doi:10.1117/12.532039
dblp:conf/drr/MaoKT04
fatcat:lupc7il4c5dbdf5bikvj6gsxdi
Designing Metrics for the Purpose of Aesthetically Evaluating
[article]
2005
Computational Aesthetics in Graphics
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We survey our experiences in designing metrics for non-interactively guiding image evolution to obtain aesthetic images and we propose a taxonomy for metric frameworks. ...
The algorithmic and evolutionary art movements within computer-generated art have helped spur interest in evaluating images on the basis of their aesthetic merit. ...
Introduction The literature on perception, digital art, and art criticism provides limited guidance and even fewer suggestions for helping researchers design metrics for evaluating images on the basis ...
doi:10.2312/compaesth/compaesth05/151-158
fatcat:fvbqwheflzejjbb6cj55d4n6k4
Evaluation of turbulence mitigation methods
2014
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXV
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The amount of blurring and tilt in the imagery seem to be relevant measures for such an evaluation. ...
Atmospheric turbulence is a well-known phenomenon that diminishes the recognition range in visual and infrared image sequences. ...
ACKNOWLEDGEMENTS The authors would like to thank the NATO SET-165 group for the availability of the Dayton dataset. ...
doi:10.1117/12.2050314
fatcat:gorxk7s4abfnlnbnkstgo4szei
Design and evaluation of photometric image quality measures for effective face recognition
2014
IET Biometrics
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Designing effective image quality index is necessary in order to provide real-time feedback for reducing the number of poor quality face images acquired during enrollment and authentication, thereby improving ...
Third, they propose a new face image quality index (FQI) that combines multiple quality measures, and classifies a face image based on this index. ...
In this paper, our goal is to design, develop and evaluate a unified technique that combines various IQMs and generates a single value that can be used to represent the level of overall quality of query ...
doi:10.1049/iet-bmt.2014.0022
fatcat:f6xrjxj32rcmpgyzpeereh2ioi
Design and Evaluation of Interactive Proofreading Tools for Connectomics
2014
IEEE Transactions on Visualization and Computer Graphics
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In this paper we present the design and implementation of Mojo, a fully-featured singleuser desktop application for proofreading, and Dojo, a multi-user web-based application for collaborative proofreading ...
We evaluate the accuracy and speed of Mojo, Dojo, and Raveler, a proofreading tool from Janelia Farm, through a quantitative user study. ...
ACKNOWLEDGMENTS We would like to thank Steffen Kirchhoff for his input. ...
doi:10.1109/tvcg.2014.2346371
pmid:26356960
fatcat:m2ujx6cwqvg4xfnqzfmbplpnmm
Biomedical information from a national collection of spine x-rays: film to content-based retrieval
2003
Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation
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evaluation, and Web data distribution. ...
Methods and technologies critical for this phase include image segmentation, pattern recognition, data clustering, and neural networks. ...
Our focus is on (a) developing robust algorithms for localizing and identifying anatomy relevant for that image class and relevant to the indexing goals, (b) developing algorithms for labeling the segmented ...
doi:10.1117/12.487798
fatcat:2xiqzitctnfgnia766lmkdmwai
Design and Evaluation of Vision-based Head and Face Tracking Interfaces for Assistive Input
[article]
2017
arXiv
pre-print
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2017 pre-print arXiv:1707.08019v1 fatcat:wlzv276icfatrlkhycvb7ibq6y
Evaluation forms a critical component of this research and we provide examples of new quantitative evaluation tasks as well as the use of model real-world applications for the qualitative evaluation of ...
To illustrate this concretely we describe work from our own research in which we developed two vision-based facial feature tracking algorithms for human computer interaction and assistive input. ...
Noise in the segmented region is reduced using a voting algorithm with a neighborhood of width 5 pixels and height 3 pixels. ...
arXiv:1707.08019v2
fatcat:6bebqxu66bejrnre2cjrf4njom
Design and Evaluation of Personalized Free Trials
[article]
2020
arXiv
pre-print
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Next, we develop a three-pronged framework for personalized policy design and evaluation. ...
Free trial promotions, where users are given a limited time to try the product for free, are a commonly used customer acquisition strategy in the Software as a Service (SaaS) industry. ...
Personalized Policy Design and Evaluation We now present a three-pronged framework that allows us to design and evaluate personalized targeting polices. ...
arXiv:2006.13420v1
fatcat:7khmq5lp25etlcnausvi5kvufq
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
[article]
2020
arXiv
pre-print
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, we present a categorization of interpretable machine learning design goals and evaluation methods to show a mapping between design goals for different XAI user groups and their evaluation methods. ...
From our findings, we develop a framework with step-by-step design guidelines paired with evaluation methods to close the iterative design and evaluation cycles in multidisciplinary XAI teams. ...
ACKNOWLEDGMENTS The authors would like to thank anonymous reviewers for their helpful comments on earlier versions of this manuscript. ...
arXiv:1811.11839v5
fatcat:pl4mmtd2zzhipilebnc2khagu4
Designing and evaluating active learning methods for activity recognition
2014
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication - UbiComp '14 Adjunct
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We evaluate the methods using the CASAS smart home sensor data and present a crowdsourcing application for annotation. ...
Due to the high variance in house configurations and sensor placements, it is important to collect and label sample sensor data that will be used to train a learning algorithm. ...
In this work we design approaches to active activity recognition and evaluate our approaches using the CASAS smart home project sensor data [2] . ...
doi:10.1145/2638728.2641674
dblp:conf/huc/BagaveyevC14
fatcat:q4spiajy3zbobfhtzzydkvtdsa
Fingerprint Recognition System Using Artificial Neural Network as Feature Extractor: Design and Performance Evaluation
2016
Tatra Mountains Mathematical Publications
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For purposes of evaluation we used more fingerprint databases with varying image quality, and the performance of our system was evaluated using FMR/FNMR and ROC indicators. ...
for image quality restoration, Level-1 and Level-2 feature extraction module based on neural network, and finally fingerprint matching module using the industry standard BOZORTH3 matching algorithm. ...
Results and performance evaluation
Fingerprint databases used for evaluation To simulate the maximum possible variability of fingerprint images, we collected a database of 5851 fingerprint images from ...
doi:10.1515/tmmp-2016-0035
fatcat:dqkawpizkjg3ro75qbrpuhzqk4
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