Previous studies have demonstrated that Polarization Sensitive Optical Coherence Tomography (PS-OCT) can be used to image the remineralization of early artificial caries lesion on smooth enamel surfaces of human and b...
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ISBN:
(纸本)9780819474087
Previous studies have demonstrated that Polarization Sensitive Optical Coherence Tomography (PS-OCT) can be used to image the remineralization of early artificial caries lesion on smooth enamel surfaces of human and bovine teeth. However, most new dental decay is found in the pits and fissures of the occlusal surfaces of posterior dentition and it is in these high risk areas where the performance of new caries imaging devices need to be investigated. The purpose of this study was to demonstrate that PS-OCT can be used to measure the subsequent remineralization of artificial lesions produced in the pits and fissures of extracted 3(rd) molars. A PS-OCT system operating at 1310-nm was used to acquire polarization resolved images of occlusal surfaces exposed to a demineralizing solution at pH-4.5 followed by a fluoride containing remineralizing solution at pH-7.0 containing 2-ppm fluoride. The integrated reflectivity was calculated to a depth of 200-mu m in the entire lesion area using an automated imageprocessing algorithm. Although a well-defined surface zone was clearly resolved in only a few of the samples that underwent remineralization, the PS-OCT measurements indicated a significant (p<0.05) reduction in the integrated reflectivity between the severity of the lesions that were exposed to the remineralization solution and those that were not. The lesion depth and mineral loss were also measured with polarized light microscopy and transverse microradiography after sectioning the teeth. These results show that PS-OCT can be used to non-destructively monitor the remineralization potential of anti-caries agents in the important pits and fissures of the occlusal surface.
Urinary sediment inspecting is, that doctor counts the organic visible sediments in urinary and different sediments components so that we can know the status of kidney disease. In this system, we adopt the digital ima...
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ISBN:
(纸本)9780769535630
Urinary sediment inspecting is, that doctor counts the organic visible sediments in urinary and different sediments components so that we can know the status of kidney disease. In this system, we adopt the digital image microscope technology to observe directly the visible components which include RBC, WBC, Cast, Crystal etc in urinary sediment. The proposed method which uses the computer image recognition and SVM technology carries out automatically sampling image and analyzing and diagnosis the diseases. Moreover, it not only alleviates the doctors' workload and avoids omission or repetitive counting, but also improves the accuracy of counting and is convenience to saving and processingimage and others the guarantee for the following analysis and summary.
This paper is built upon the feedback of the Ode ToolBox development team in the task of selecting, implementing and qualifying state-of-the-art image processing algorithms from the literature. It enforces the need to...
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ISBN:
(纸本)9781424433940
This paper is built upon the feedback of the Ode ToolBox development team in the task of selecting, implementing and qualifying state-of-the-art image processing algorithms from the literature. It enforces the need to release reference implementations along with published materials, and insists on the benefits expected for both the authors and the scientific community. Finally, it exposes the numerous advantages of integrating such reference implementations into a rich software framework like the Orfeo ToolBox. Short algorithm implementation stories are given to support the different points.
The Acousto-Optic Tunable Filter (AOTF) is a high-speed full-field monochromator which generates two spectrally filtered light beams with ordinary and extraordinary polarization state. The angle of diffracted light in...
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The Acousto-Optic Tunable Filter (AOTF) is a high-speed full-field monochromator which generates two spectrally filtered light beams with ordinary and extraordinary polarization state. The angle of diffracted light in an AOTF changes according to the scanning of wavelength, which causes an image shift on a CCD plane. An analytic design of a prism system to compensate for the angular-shift error is proposed in this paper. Analysis of light paths in a prism and experimental results verify a proposed compensation method. Experimental results agreed with simulation results based on the suggested prism model. Angular-shift errors of ordinary and extraordinary rays are simultaneously minimized at optimal conditions with the designed prism. (C) 2008 Optical Society of America
Quantification of protein abundance and subcellular localization dynamics from fluorescence microscopy images is of high contemporary interest in cell and molecular biology. For large-scale studies of cell populations...
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Quantification of protein abundance and subcellular localization dynamics from fluorescence microscopy images is of high contemporary interest in cell and molecular biology. For large-scale studies of cell populations and for time-lapse studies, such quantitative analysis can not be performed effectively without some kind of automated image analysis tool. Here, we present fast algorithms for automatic cell contour recognition in bright field images, optimized to the model organism budding yeast (Saccharomyces cerevisiae). The cell contours can be used to effectively quantify cell morphology parameters as well as protein abundance and subcellular localization from overlaid fluorescence data. (C) 2008 Optical Society of America.
Color characteristics of an RGBW (red, green, blue, white) electrophoretic display (EPD) prototype developed by Samsung Electronics are analyzed. EPD shows strong crosstalk between subpixels because of both the fringe...
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Color characteristics of an RGBW (red, green, blue, white) electrophoretic display (EPD) prototype developed by Samsung Electronics are analyzed. EPD shows strong crosstalk between subpixels because of both the fringe field between subpixels and the scattering phenomena at the display surface. An RGB-to-RGBW color-decomposition algorithm optimized to EPD characteristics is developed that compensates for color deterioration due to the fringe field and scattering phenomena. For the four-color-decomposition algorithm, white is added to the primary colors to enhance the reflectance of the vivid colors while minimizing chroma loss. The psychophysical experimental result shows that images rendered with the algorithms developed in this study are preferred more than 90% of the time over those rendered with algorithms from previous studies. This research proves that, in spite of the limited physical property of EPD, the color quality can be improved dramatically through the use of well-designed color-rendering algorithms. (C) 2008 Optical Society of America.
Of all the remote sensing modalities available for underwater applications, acoustic methods, covering frequency ranges from a few Hz to several MHz, are by far the most flexible and widely used. The authors propose a...
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Of all the remote sensing modalities available for underwater applications, acoustic methods, covering frequency ranges from a few Hz to several MHz, are by far the most flexible and widely used. The authors propose a method for preprocessing sidescan sonar data for visualisation, detection and classification purposes. Sidescan imagery is highly sensor specific and is typically affected by factors that have either a range dependency or an angular dependency. Each of these is altered in a different way given variations in sensor altitude over the seabed. Working from the physics and geometry of the sonar process, the proposed method estimates separate correction factors for range and angular dependencies directly from the image data. Once calculated, these factors can be applied over large data sets to provide radiometric correction over the entire survey area. Simpler image processing algorithms are more effective because the image statistics are improved with more stable means and variances across the sonar swath. The method requires a good bottom detection algorithm for estimation of sensor altitude at each transmission time and incorporates a resampling scheme for the calculation and application of the angular-dependency correction factors. Results showing improved classification performance for two large area surveys are presented. The method proposed provides a more complete solution than previously reported resampling schemes and offers significant improvements in terms of accuracy, robustness, usability and execution times.
A new algorithm for fast contrast modification of standard dynamic range (SDR) images (8 bits/ channel) is presented. Its thrust is to enhance the contrast in the under-/over-exposed regions of SDR images, caused by t...
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A new algorithm for fast contrast modification of standard dynamic range (SDR) images (8 bits/ channel) is presented. Its thrust is to enhance the contrast in the under-/over-exposed regions of SDR images, caused by the low dynamic range of the capturing device. It is motivated by the attributes of the shunting centre-surround cells of the human visual system. The main advantage of the proposed algorithm is its O(N) complexity which results in very fast execution, even when executed on a conventional personal computer (0.2 s/frame for a 640 x 480 pixel resolution on a 3 GHz Pentium 4). Thus, it moderately increases the computational burden if it is used as a pre-processing stage for other image processing algorithms. The proposed method is compared with other established algorithms, which can enhance the contrast in the under-/over-exposed regions of SDR images: the multi-scale Retinex with colour rendition, the McCann Retinex (McCann99), the rational mapping function and the automatic colour equalisation. The results obtained by this comparison indicate that the proposed algorithm exhibits at least comparable results in contrast modification tasks to the other algorithms, in significantly reduced execution times.
Computed tomographic imaging of tissue surrounding metallic implants is often limited by metal artifacts. This paper compares 3 existing metal artifact reduction techniques that are based on segmentation of metal-affe...
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Computed tomographic imaging of tissue surrounding metallic implants is often limited by metal artifacts. This paper compares 3 existing metal artifact reduction techniques that are based on segmentation of metal-affected regions in native images, followed by reprojection of segmented areas into original Radon space, removal of metal trace(s), and renewed reconstruction: Detector row-wise linear interpolation, 2-dimensional interpolation, and combination of row-wise linear interpolation and adaptive filtering. For each method, improvements of CT number accuracy and signal-noise as well as contrast-noise ratios near the prosthesis and in the image periphery over the values found for native images were evaluated in a phantom experiment simulating osteolytic bone lesions of different size and density around a Chrome-Cobalt hip prosthesis stem. Improvement in diagnostic usability was evaluated as lesion detectability by size. Quantitative and qualitative results showed that the linear interpolation and the combination method removed the artifacts most effectively. The mean accuracy error over different regions of interest placed in the direct vicinity of the metal and in the periphery of the object decreased 10-fold with linear interpolation. These methods increased contrast-noise ratio up to 68% of that measured on artifact-free images for the least dense lesion. Qualitatively, the linear interpolation and the combination method improved the lesion delectability and enabled differentiation of different lesion densities. However, in proximity to the stem, some artifacts remained for all methods. We conclude that published algorithms for metal artifact reduction substantially improve image quality for CT imaging of a metallic object and may be adequate for quantitative measurements except for the direct vicinity of the metallic object.
We demonstrate how real-time holographic interferometry yielding two-dimensional fringes can be recorded and used to determine changes in three-dimensional attitude of a model airplane through digital imageprocessing...
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We demonstrate how real-time holographic interferometry yielding two-dimensional fringes can be recorded and used to determine changes in three-dimensional attitude of a model airplane through digital imageprocessing. A simple bench-top experiment with a model airplane as a test object is conducted to demonstrate interference fringes superposed on the image due to changes in attitudes (pitch, yaw, and roll) as well as distortion. A novel second-generation thermoplastic camera suitable for dynamic multiple reversible registration of thin-phase holograms using thermoplastic and semiconductor film on glass substrate is used for in situ recording and readout during real-time holographic interferometry. Thin-phase holograms also offer the advantage of exact image reconstruction from forward-phase conjugation. (C) 2008 Optical Society of America.
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