The Experts below are selected from a list of 62430 Experts worldwide ranked by ideXlab platform
Oscar Mauricio Hernandez Rodriguez - One of the best experts on this subject based on the ideXlab platform.
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film thickness measurement in oil water pipe flow using Image Processing Technique
Experimental Thermal and Fluid Science, 2015Co-Authors: Adriana Bonilla Riano, Antonio Carlos Bannwart, Iara Hernandez Rodriguez, Oscar Mauricio Hernandez RodriguezAbstract:Abstract Dispersed oil–water flow was studied in a 12 m long horizontal acrylic pipe, with 26 mm of internal diameter, using mineral oil (828 kg/m3 of density and 220 cP of viscosity) and tap water. Experiments with a high-speed video camera were performed to obtain Images of the flow near the pipe wall in highly dispersed oil–water flow. A visualization section was properly designed and installed in the pipeline for that purpose. The Technique applied in the present work is based on the acquisition of Images of the flow, and then the application of digital Image Processing Techniques in order to quantify the film thickness near the wall. A thin water film was detected at the top and bottom of the pipe at highly turbulent oil–water flow. A pre-Processing enhancement algorithm and a combined segmentation algorithm are being proposed to measure the film thickness. A comparison with a phenomenological model is also presented. The combined method performs better when compared with the results obtained from the application of the traditional Techniques individually.
Chunkit Chan - One of the best experts on this subject based on the ideXlab platform.
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common phase estimation in coherent ofdm system using Image Processing Technique
IEEE Photonics Technology Letters, 2015Co-Authors: Lingchen Huang, Chunkit ChanAbstract:In a coherent orthogonal frequency division multiplexing system, the possible rotation of the rectangular signal constellation, due to common phase error, is shown to be effectively compensated by applying an skew compensation Technique adopted in Image Processing area. We further propose an improved Technique to further reduce the complexity of the algorithm and investigate the effect of the number of required test phases, via numerical simulations. The proposed improved algorithm is also compared with the conventional blind phase searching algorithm. It is shown that by employing only two bits of overhead, it can achieve a comparable performance to that of the traditional pilot aided method.
Adriana Bonilla Riano - One of the best experts on this subject based on the ideXlab platform.
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film thickness measurement in oil water pipe flow using Image Processing Technique
Experimental Thermal and Fluid Science, 2015Co-Authors: Adriana Bonilla Riano, Antonio Carlos Bannwart, Iara Hernandez Rodriguez, Oscar Mauricio Hernandez RodriguezAbstract:Abstract Dispersed oil–water flow was studied in a 12 m long horizontal acrylic pipe, with 26 mm of internal diameter, using mineral oil (828 kg/m3 of density and 220 cP of viscosity) and tap water. Experiments with a high-speed video camera were performed to obtain Images of the flow near the pipe wall in highly dispersed oil–water flow. A visualization section was properly designed and installed in the pipeline for that purpose. The Technique applied in the present work is based on the acquisition of Images of the flow, and then the application of digital Image Processing Techniques in order to quantify the film thickness near the wall. A thin water film was detected at the top and bottom of the pipe at highly turbulent oil–water flow. A pre-Processing enhancement algorithm and a combined segmentation algorithm are being proposed to measure the film thickness. A comparison with a phenomenological model is also presented. The combined method performs better when compared with the results obtained from the application of the traditional Techniques individually.
Lingchen Huang - One of the best experts on this subject based on the ideXlab platform.
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common phase estimation in coherent ofdm system using Image Processing Technique
IEEE Photonics Technology Letters, 2015Co-Authors: Lingchen Huang, Chunkit ChanAbstract:In a coherent orthogonal frequency division multiplexing system, the possible rotation of the rectangular signal constellation, due to common phase error, is shown to be effectively compensated by applying an skew compensation Technique adopted in Image Processing area. We further propose an improved Technique to further reduce the complexity of the algorithm and investigate the effect of the number of required test phases, via numerical simulations. The proposed improved algorithm is also compared with the conventional blind phase searching algorithm. It is shown that by employing only two bits of overhead, it can achieve a comparable performance to that of the traditional pilot aided method.
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Image Processing based common phase estimation for coherent optical orthogonal frequency division multiplexing system
Optical Fiber Communication Conference, 2015Co-Authors: Lingchen Huang, Calvin Chunkit ChanAbstract:A novel common phase error estimation method based on Image Processing Technique is proposed. Both numerical simulations and experiments prove its feasibility to compensate phase noise with improved spectral efficiency than the pilot-subcarrier aided method.
Philippe Guillemant - One of the best experts on this subject based on the ideXlab platform.
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an Image Processing Technique for automatically detecting forest fire
International Journal of Thermal Sciences, 2002Co-Authors: Jerome Vicente, Philippe GuillemantAbstract:In this paper we present an automatic system for early smoke source detection through the real time Processing of landscape Images. The first part describes the segmentation Technique we use to extract persistent dynamical envelopes of pixels into the Images. We describe the temporal algorithm at the pixel level (filtering) and the spatial analysis to bring together connected pixels into the same envelopes (object labeling). The second part deals with the method we use to discriminate the various natural phenomena that may cause such envelopes. We describe the Image sequence analysis we developed to discriminate distant smokes from other phenomena, by extracting the transitory and complex motions into little pre-processed envelopes. We present then our main criterion for smoke recognition based on the analysis of the smoke plumes velocity.