ORCID Profile
0000-0002-5513-9822
Current Organisation
Shahrood University of Technology
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Publisher: Elsevier BV
Date: 2019
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Springer Science and Business Media LLC
Date: 18-04-2019
Publisher: IEEE
Date: 2001
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 02-2018
Publisher: Springer Science and Business Media LLC
Date: 28-06-2019
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 2015
Publisher: IEEE
Date: 23-06-2021
Publisher: IEEE
Date: 05-2010
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 02-2019
Publisher: IEEE
Date: 04-2007
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 12-2017
Publisher: SciTech Solutions
Date: 17-09-2019
Publisher: IEEE
Date: 12-2017
Publisher: Elsevier BV
Date: 08-2003
Publisher: IEEE
Date: 12-2019
Publisher: IEEE
Date: 02-2007
Publisher: IEEE
Date: 12-2017
Publisher: Springer Science and Business Media LLC
Date: 25-05-2023
Publisher: IEEE
Date: 08-2018
Publisher: IEEE
Date: 12-2007
Publisher: IEEE
Date: 04-2008
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 11-2014
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 2022
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 11-2014
Publisher: Institution of Engineering and Technology (IET)
Date: 09-2019
Publisher: Elsevier BV
Date: 04-2019
Publisher: Springer International Publishing
Date: 2014
Publisher: Springer Science and Business Media LLC
Date: 12-05-2020
Publisher: Springer Science and Business Media LLC
Date: 03-01-2018
Publisher: Springer Science and Business Media LLC
Date: 19-03-2022
Publisher: IEEE
Date: 02-2019
Publisher: Springer Science and Business Media LLC
Date: 02-06-2022
Publisher: Elsevier
Date: 2016
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 12-2021
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 2023
Publisher: Springer Science and Business Media LLC
Date: 21-11-2016
Publisher: Springer Science and Business Media LLC
Date: 08-2020
Publisher: ScopeMed
Date: 2019
Publisher: Springer Science and Business Media LLC
Date: 19-10-2019
Publisher: Elsevier BV
Date: 06-2009
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 11-2017
Publisher: IEEE
Date: 2003
Publisher: Springer Science and Business Media LLC
Date: 26-10-2021
Publisher: Research Square Platform LLC
Date: 16-09-2022
Publisher: Institution of Engineering and Technology (IET)
Date: 2010
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 02-2020
Publisher: Elsevier BV
Date: 09-2012
Publisher: Springer Science and Business Media LLC
Date: 10-02-2017
Publisher: IEEE
Date: 2005
Publisher: Institution of Engineering and Technology (IET)
Date: 23-05-2017
Publisher: Elsevier BV
Date: 03-2009
Publisher: Springer Science and Business Media LLC
Date: 04-04-2018
Publisher: Springer Science and Business Media LLC
Date: 21-01-2017
Publisher: IEEE
Date: 05-2010
Publisher: Wiley
Date: 17-04-2020
DOI: 10.1002/AOCS.12356
Publisher: IEEE
Date: 10-2010
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 06-2021
Publisher: Elsevier BV
Date: 07-2016
Publisher: IEEE
Date: 11-2012
Publisher: Elsevier BV
Date: 09-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 2011
Publisher: World Scientific Pub Co Pte Ltd
Date: 03-2022
Publisher: Hindawi Limited
Date: 28-10-2021
DOI: 10.1155/2021/6048137
Abstract: Motion blur is a common artifact in image processing, specifically in e-health services, which is caused by the motion of a camera or scene. In linear motion cases, the blur kernel, i.e., the function that simulates the linear motion blur process, depends on the length and direction of blur, called linear motion blur parameters. The estimation of blur parameters is a vital and sensitive stage in the process of reconstructing a sharp version of a motion blurred image, i.e., image deblurring. The estimation of blur parameters can also be used in e-health services. Since medical images may be blurry, this method can be used to estimate the blur parameters and then take an action to enhance the image. In this paper, some methods are proposed for estimating the linear motion blur parameters based on the extraction of features from the given single blurred image. The motion blur direction is estimated using the Radon transform of the spectrum of the blurred image. To estimate the motion blur length, the relation between a blur metric, called NIDCT (Noise-Immune Discrete Cosine Transform-based), and the motion blur length is applied. Experiments performed in this study showed that the NIDCT blur metric and the blur length have a monotonic relation. Indeed, an increase in blur length leads to increase in the blurriness value estimated via the NIDCT blur metric. This relation is applied to estimate the motion blur. The efficiency of the proposed method is demonstrated by performing some quantitative and qualitative experiments.
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 2022
Publisher: IEEE
Date: 2005
Publisher: Institution of Engineering and Technology (IET)
Date: 04-2016
Publisher: Elsevier BV
Date: 08-2009
Publisher: Elsevier BV
Date: 06-2012
Publisher: Elsevier BV
Date: 09-2016
Publisher: Elsevier BV
Date: 2017
Publisher: IEEE
Date: 12-2011
Publisher: IEEE
Date: 12-2007
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 10-2020
Publisher: IEEE
Date: 12-2007
Publisher: Informa UK Limited
Date: 09-2013
Publisher: European Association of Geoscientists & Engineers
Date: 2016
Publisher: IEEE
Date: 2003
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 2023
Publisher: IEEE
Date: 05-2007
Publisher: Springer Science and Business Media LLC
Date: 09-2016
Publisher: IEEE
Date: 28-12-2022
Publisher: IEEE
Date: 11-2007
Publisher: Elsevier BV
Date: 2022
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 03-2021
Publisher: Elsevier BV
Date: 09-2015
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 2022
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 11-2013
Publisher: IEEE
Date: 02-2007
Publisher: Springer Science and Business Media LLC
Date: 12-05-2018
Publisher: Institute of Electronics, Information and Communications Engineers (IEICE)
Date: 2009
DOI: 10.1587/ELEX.6.230
Publisher: Springer Science and Business Media LLC
Date: 28-05-2022
Publisher: Springer Science and Business Media LLC
Date: 02-10-2023
Publisher: IEEE
Date: 05-2009
Publisher: Institution of Engineering and Technology (IET)
Date: 26-10-2020
Publisher: IOP Publishing
Date: 23-07-2004
Publisher: Springer Science and Business Media LLC
Date: 06-2015
Publisher: Elsevier BV
Date: 03-2022
Publisher: IEEE
Date: 03-2008
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 08-2021
Publisher: Hindawi Limited
Date: 18-10-2021
DOI: 10.1155/2021/7863113
Abstract: Wireless capsule endoscopy (WCE) is a powerful tool for the diagnosis of gastrointestinal diseases. The output of this tool is in video with a length of about eight hours, containing about 8000 frames. It is a difficult task for a physician to review all of the video frames. In this paper, a new abnormality detection system for WCE images is proposed. The proposed system has four main steps: (1) preprocessing, (2) region of interest (ROI) extraction, (3) feature extraction, and (4) classification. In ROI extraction, at first, distinct areas are highlighted and nondistinct areas are faded by using the joint normal distribution then, distinct areas are extracted as an ROI segment by considering a threshold. The main idea is to extract abnormal areas in each frame. Therefore, it can be used to extract various lesions in WCE images. In the feature extraction step, three different types of features (color, texture, and shape) are employed. Finally, the features are classified using the support vector machine. The proposed system was tested on the Kvasir-Capsule dataset. The proposed system can detect multiple lesions from WCE frames with high accuracy.
Publisher: IEEE
Date: 11-2006
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 04-2020
Publisher: Springer Science and Business Media LLC
Date: 24-10-2015
Publisher: IEEE
Date: 29-12-2021
Publisher: Elsevier BV
Date: 2023
DOI: 10.2139/SSRN.4423332
Publisher: Elsevier BV
Date: 11-2017
Publisher: IEEE
Date: 12-2017
Publisher: Elsevier BV
Date: 07-2023
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 02-2021
Publisher: Springer Science and Business Media LLC
Date: 26-02-2020
Publisher: Springer Science and Business Media LLC
Date: 06-05-2019
Publisher: Springer Science and Business Media LLC
Date: 09-07-2022
Publisher: Informa UK Limited
Date: 09-2011
Publisher: IEEE
Date: 04-2007
Publisher: Springer Science and Business Media LLC
Date: 03-03-2022
Publisher: Elsevier BV
Date: 02-2017
Publisher: Springer Science and Business Media LLC
Date: 12-2004
Publisher: ASMEDC
Date: 2009
Publisher: IEEE
Date: 28-12-2022
Publisher: Springer Science and Business Media LLC
Date: 14-08-2019
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 07-2014
Publisher: IEEE
Date: 11-2007
Publisher: Oxford University Press (OUP)
Date: 25-09-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: Elsevier BV
Date: 07-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: IEEE
Date: 28-12-2022
Publisher: Elsevier BV
Date: 07-2020
Publisher: IEEE
Date: 11-2010
Publisher: International Digital Organization for Scientific Information (IDOSI)
Date: 08-2019
Publisher: IEEE
Date: 12-2010
Publisher: IEEE
Date: 29-12-2021
Publisher: Springer Science and Business Media LLC
Date: 17-03-2022
Publisher: IEEE
Date: 10-2019
Publisher: Informa UK Limited
Date: 08-2011
Location: Iran (Islamic Republic of)
No related grants have been discovered for Hamid Hassanpour.