The Experts below are selected from a list of 193908 Experts worldwide ranked by ideXlab platform
Hassene Mnif - One of the best experts on this subject based on the ideXlab platform.
-
New Gamma Correction Method for real time image text extraction
2019Co-Authors: Mohamed Amin Ben Atitallah, Rostom Kachouri, Ahmed Ben Atitallah, Hassene MnifAbstract:Text extraction and character recognition in manuscripts are a very important part of image processing and pattern recognition. The recently proposed Gamma Correction Method (GCM) is a popular Method used in the processing of a color image and in particular in the extraction of text from a complex image. However, The GCM consumes a lot of time to extract the text and this is because of the complex calculations of different operations in the different blocks of GCM which is not suitable to real-time applications. In this paper, we propose an efficient Gamma Correction Method acceleration. Our proposal allows to minimize the GCM execution time while ensuring the same reliability of the initial version. The experimental results show an important optimization compared to the literature.
-
IPTA - New Gamma Correction Method for real time image text extraction
2019 Ninth International Conference on Image Processing Theory Tools and Applications (IPTA), 2019Co-Authors: Mohamed Amin Ben Atitallah, Rostom Kachouri, Ahmed Ben Atitallah, Hassene MnifAbstract:Text extraction and character recognition in manuscripts are a very important part of image processing and pattern recognition. The recently proposed Gamma Correction Method (GCM) is a popular Method used in the processing of a color image and in particular in the extraction of text from a complex image. However, The GCM consumes a lot of time to extract the text and this is because of the complex calculations of different operations in the different blocks of GCM which is not suitable to real-time applications. In this paper, we propose an efficient Gamma Correction Method acceleration. Our proposal allows to minimize the GCM execution time while ensuring the same reliability of the initial version. The experimental results show an important optimization compared to the literature.
Anees Dhabaan - One of the best experts on this subject based on the ideXlab platform.
-
WE-AB-207A-07: A Planning CT-Guided Scatter Artifact Correction Method for CBCT Images
Medical Physics, 2016Co-Authors: Xiaofeng Yang, Xue Dong, Eric Elder, Walter J. Curran, Anees DhabaanAbstract:Purpose: Cone beam computed tomography (CBCT) imaging is on increasing demand for high-performance image-guided radiotherapy such as online tumor delineation and dose calculation. However, the current CBCT imaging has severe scatter artifacts and its current clinical application is therefore limited to patient setup based mainly on the bony structures. This study's purpose is to develop a CBCT artifact Correction Method. Methods: The proposed scatter Correction Method utilizes the planning CT to improve CBCT image quality. First, an image registration is used to match the planning CT with the CBCT to reduce the geometry difference between the two images. Then, the planning CT-based prior information is entered into the Bayesian deconvolution framework to iteratively perform a scatter artifact Correction for the CBCT mages. This technique was evaluated using Catphan phantoms with multiple inserts. Contrast-to-noise ratios (CNR) and signal-to-noise ratios (SNR), and the image spatial nonuniformity (ISN) in selected volume of interests (VOIs) were calculated to assess the proposed Correction Method. Results: Post scatter Correction, the CNR increased by a factor of 1.96, 3.22, 3.20, 3.46, 3.44, 1.97 and 1.65, and the SNR increased by a factor 1.05, 2.09, 1.71, 3.95, 2.52, 1.54 and 1.84 for the Air, PMP, LDPE, Polystryrene, Acrylic, Delrin and Teflon inserts, respectively. The ISN decreased from 21.1% to 4.7% in the corrected images. All values of CNR, SNR and ISN in the corrected CBCT image were much closer to those in the planning CT images. The results demonstrated that the proposed Method reduces the relevant artifacts and recovers CT numbers. Conclusion: We have developed a novel CBCT artifact Correction Method based on CT image, and demonstrated that the proposed CT-guided Correction Method could significantly reduce scatter artifacts and improve the image quality. This Method has great potential to correct CBCT images allowing its use in adaptive radiotherapy.
Craig H Meyer - One of the best experts on this subject based on the ideXlab platform.
-
Fast automatic linear off-resonance Correction Method for spiral imaging.
Magnetic resonance in medicine, 2006Co-Authors: Weitian Chen, Craig H MeyerAbstract:Field inhomogeneity and susceptibility variations, coupled with a long readout, can result in image blurring in spiral imaging. Many Correction Methods based on a priori off-resonance information, such as an acquired field map, have been proposed in the literature. Automatic off-resonance Correction Methods are alternative approaches that estimate a field map from the image data themselves. In this paper we propose a fast automatic off-resonance Correction Method that performs linear Correction without acquiring a field map. The Method requires only about two times the total computation time compared to image reconstruction by gridding. It can also be used in combination with a full field map automatic off-resonance Correction Method to increase the extent of Correction. The Method is demonstrated by in vivo coronary artery imaging.
Tatiana Kozubskaya - One of the best experts on this subject based on the ideXlab platform.
-
Modification of Flux Correction Method for accuracy improvement on unsteady problems
Journal of Computational Physics, 2017Co-Authors: P.a. Bakhvalov, Tatiana KozubskayaAbstract:In the paper we introduce a new modification of the Flux Correction Method (we name it Unsteady Flux Correction scheme) for solving convection-dominant problems on unstructured simplicial meshes. The original Flux Correction Method possesses the third order of accuracy on steady solutions and the second order otherwise. Our modification does not degrade steady solutions of the Flux Correction Method and, in addition, enjoys the third order on translationally-invariant meshes for unsteady problems. On arbitrary unstructured meshes for unsteady problems we show that the accuracy of Unsteady Flux Correction scheme is significantly higher than of the original (steady) Flux Correction Method in terms of error values.
Jun Kawarabayashi - One of the best experts on this subject based on the ideXlab platform.
-
Proposal on dynamic Correction Method for resonance ionization mass spectrometry
Hyperfine Interactions, 2013Co-Authors: Takuma Noto, Hideki Tomita, Sven Richter, F. Schneider, Klaus Wendt, Tetsuo Iguchi, Jun KawarabayashiAbstract:For high precision and accuracy in isotopic ratio measurement of transuranic elements using laser ablation assisted resonance ionization mass spectrometry, a dynamic Correction Method based on correlation of ion signals with energy and timing of each laser pulse was proposed. The feasibility of this dynamic Correction Method was investigated through the use of a programmable electronics device for fast acquisition of the energy and timing of each laser pulse.
