We proposed a method using a merit function to determine the depth of objects in computational integral imaging by analyzing the existing methods for depth extraction of target objects. To improve the resolution of re...
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We proposed a method using a merit function to determine the depth of objects in computational integral imaging by analyzing the existing methods for depth extraction of target objects. To improve the resolution of reconstructed slice images, we use a digital camera moving in horizontal and vertical direction with the set interval to get elemental images with high resolution and bilinear interpolation algorithm to increase the number of pixels in slice image which improves the resolution obviously. To show the feasibility of the proposed method, we carried out our experiment and presented the results. We also compared it with other merit functions. The results show that merit function SMD2 to determine the depth of objects is more accurate and suitable for real-time application.
To achieve real-time transmission of image information under limited network bandwidth conditions, we propose a fast fractal image compression algorithm based on centroid radius. This algorithm addresses the shortcomi...
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To achieve real-time transmission of image information under limited network bandwidth conditions, we propose a fast fractal image compression algorithm based on centroid radius. This algorithm addresses the shortcomings of conventional fractal encoding algorithms, such as high computational complexity and long encoding times. With our proposed algorithm, we calculate the centroid radius for both domain and range blocks, then sort the domain blocks based on the centroid radius. For a range block, we can find the best-matched domain blocks in the nearest neighbourhood. Additionally, we apply a bilinear interpolation algorithm to reconstruct the image's edges, reducing the block effect. In this paper, we use scalars to characterize image block features and optimize the codebook organization structure and matching method accordingly. This localization of the matching search range results in shorter coding times. Experimental results demonstrate that our encoder is 4.68 times faster than conventional fractal encoding with the proposed scheme, while still achieving good fidelity and compression ratios for the decoded image.
Aerosol optical depth (AOD) is one of the most crucial parameters for reflecting aerosol characteristics. This study systematically evaluated daily AOD from Modern-Era Retrospective Analysis for Research and Applicati...
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Aerosol optical depth (AOD) is one of the most crucial parameters for reflecting aerosol characteristics. This study systematically evaluated daily AOD from Modern-Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2), Visible Infrared Imaging Radiometer Suite (VIIRS), and Moderate-resolution Imaging Spectroradiometer (MODIS) daily gridded products over China from 2012 to 2019. Both the VIIRS aerosol Deep Blue (DB) and MODIS Deep Blue algorithm products had significant missing values in areas, for example, the Qinghai-Tibet Plateau, Xinjiang, and Northeast China. High AODs were mainly concentrated in areas closely related to economic development and population density geomorphology factors, such as the North China Plain, Yangtze River Delta, Pearl River Delta, and Sichuan Basin. Notably, VIIRS products captured higher AOD values in desert regions than the other products. In overall accuracy, MODIS DB product was characterized by a correlation coefficient (R) of 0.82, root mean square error (RMSE) of 0.21, and mean absolute error (MAE) of 0.14, and VIIRS (RMSE = 0.23 and MAE = 0.15) and MERRA-2 (RMSE = 0.27 and MAE = 0.17) had a slightly larger bias. MODIS performed best, with 55% of matched samples falling within the expected error (within EE), higher than the 53% of VIIRS. However, the MERRA-2 product performed worst, with only 48% of matched samples falling within the EE. Based on the accuracy comparison of the same number of matched samples, MODIS DB product still performed best, with R = 0.88, RMSE = 0.17, MAE = 011 and 64% of matched samples falling within the EE. Moreover, snow cover and the complex surface features in South-West areas may limit the performance of DB algorithm products, but MODIS DB products are available in most other areas of China. Land cover type applicability analysis demonstrated that DB algorithm products performed well in low vegetation cover and impervious surface types. In the analysis of elevation applicabilit
The posture and size of workpiece in pixel level can be determined through optimization of the internal parameters of the camera, utilizing the enclosing rectangle method based on rotation axis to position the workpie...
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ISBN:
(纸本)9781510601673
The posture and size of workpiece in pixel level can be determined through optimization of the internal parameters of the camera, utilizing the enclosing rectangle method based on rotation axis to position the workpiece. After selecting ROI of the object, the sub-pixel edge of workpiece is extracted using the bilinear interpolation algorithm and Hessian paradigm line fitting is utilized to find the object edge accurately. The industrial camera with 5 million pixels is used, and the sizes from 80mm to 150mm of the workpiece are measured under the condition of panorama shooting, with measurement repeatability reaching 0.015mm.
The wall image of wells acquired by axial lens of multi-lens video logging system has a certain degree of geometric distortion, which is necessary to be corrected to reflect the actual situation of borehole wall. This...
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ISBN:
(纸本)9781479932795
The wall image of wells acquired by axial lens of multi-lens video logging system has a certain degree of geometric distortion, which is necessary to be corrected to reflect the actual situation of borehole wall. This paper presents an oval image processing method to correct this distortion: firstly, the space coordinate of wall image is transformed from annulus domain to a rectangular domain by using Bresenham algorithm, then the grey scale of each pixel is rebuilt with bilinearinterpolation to complete the correction of distorted image. The experimental results show that the proposed method can effectively convert distorted image to a complete rectangular expanded view, improving the accuracy of multi-lens video logging.
The wall image of wells acquired by axial lens of multi-lens video logging system has a certain degree of geometric distortion,which is necessary to be corrected to reflect the actual situation of borehole *** paper p...
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The wall image of wells acquired by axial lens of multi-lens video logging system has a certain degree of geometric distortion,which is necessary to be corrected to reflect the actual situation of borehole *** paper presents an oval image processing method to correct this distortion: firstly,the space coordinate of wall image is transformed from annulus domain to a rectangular domain by using Bresenham algorithm,then the grey scale of each pixel is rebuilt with bilinearinterpolation to complete the correction of distorted *** experimental results show that the proposed method can effectively convert distorted image to a complete rectangular expanded view,improving the accuracy of multi-lens video logging.
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