Tongue diagnosis can be an effective, noninvasive method to perform anauxiliary diagnosis any time anywhere, which can support the global need in the primary health care system. This work reviews the recent advances i...
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Tongue diagnosis can be an effective, noninvasive method to perform anauxiliary diagnosis any time anywhere, which can support the global need in the primary health care system. This work reviews the recent advances in tongue diagnosis, which is a significant constituent of traditional oriental medicinal technology, and explores the literature to evaluate the works done on the various aspects of computerized tongue diagnosis, namely preprocessing, tongue detection, segmentation, feature extraction, tongue analysis, especially in traditional Chinese medicine(TCM). In spite of huge volume of work done on automatic tongue diagnosis(ATD), there is a lack of adequate survey, especially to combine it with the current diagnosis trends. This paper studies the merits, capabilities, and associated research gaps in current works on ATD systems. After exploring the algorithms used in tongue diagnosis, the current trend and global requirements in health domain motivates us to propose a conceptual frame work for the automated tongue diagnostic system on mobile enabled platform. This frame work will be able to connect tongue diagnosis with the future point-of-care health system. (C) 2018 Korea Institute of Oriental Medicine. Publishing services by Elsevier B.v.
Traditionally, the video panorama expansion algorithms were basically based on the assumption of the alignment of hole center and camera center. In real applications, due to hardware limitations, the borehole video im...
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ISBN:
(纸本)9781643680194;9781643680187
Traditionally, the video panorama expansion algorithms were basically based on the assumption of the alignment of hole center and camera center. In real applications, due to hardware limitations, the borehole video image in the actual resource survey and acquisition project was obtained under the condition that the center of the borehole and the camera were not aligned. To solve the difficult task of obtaining panoramic images from borehole imagers and eliminate distortion in the resultant image for centers unaligned situation, this paper proposes a new borehole video imageprocessing algorithm. Firstly, the image was expanded by using the ideal model (the aligned situation data), finding the corresponding circular region, and proper interpolating manipulation. The expanded image contains the cylinder hole wall information within certain depth scope but has some kind of distortion. Then by using least square fitting method and adopting the initial phase optimization estimation method, we obtained the high-order polynomial fitting depth direction correction curve. And the expanded images are corrected frame by frame. Lastly, the displacement of the horizontal direction is searched by the template region matching method, and the panoramic image of the borehole wall is obtained by pixel-level data fusion. The experimental results are evaluated. The peak signal-to-noise ratio of the algorithm is 21.0907 and the structural similarity is 0.7976 in terms of objective metric. While subjectively the average of the proposed algorithm is 3.6. Both objective and subjective measure are better than the existing algorithm. The resultant images are more intuitive than the original video.
Experience of design methods of image-guided navigation for stereotaxis neurosurgery is described. The above approach allows obtaining high accuracy to identify spatial the position of the reference stereotactic landm...
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ISBN:
(纸本)9781728118147
Experience of design methods of image-guided navigation for stereotaxis neurosurgery is described. The above approach allows obtaining high accuracy to identify spatial the position of the reference stereotactic landmarks. visualization of the contours of the third ventricle gives the ability to calculate the center of intracerebral stereotactic coordinates system. Use of the proposed techniques in the clinic allows significantly (up to 20%) to improve the effectiveness of stereotactic operations in parkinsonism. Methods for computer tomography imageprocessing are proposed and analyzed. Further, increase accuracy stereotactic targeting functional surgery is associated with the development of machine analysis algorithms tomographic data with a view maximum recognition automation intracerebral landmarks taking into account their individual variability and allow to improve systems for surgical planning by using virtual and full-scale simulation modeling of the main stages a surgical intervention.
The trend of acquiring samples at a rate far below Nyquist rate is termed as compressive sensing (CS). CS enables the accurate recovery of signals/images by exploiting the underlying sparsity in either transform or si...
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Computer vision (Cv) and imageprocessing techniques aim at the fast development of medical images diagnoses field. As the specialist takes a long time to diagnose one MRI images, Cv techniques and machine learning al...
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This paper presents a new combined local and global transform domain-based feedback image enhancement algorithm for medical diagnosis, treatment, and clinical research. The basic idea in using local alfa-rooting metho...
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Recently, privacy has a growing importance in several domains, especially in street-view images. The conventional way to achieve this is to automatically detect and blur sensitive information from these images. Howeve...
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A trajectory building based on a camera data is one of the most popular tasks in the field of machine vision. In particular, this task appears when it is necessary to navigate in the absence of signals from global nav...
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This paper presents an adaptive algorithm of conforming image matching based on the principle of conformity. The algorithm consists of several main stages. At the first stage, we find the corresponding points using a ...
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For the first time experimentally investigated the use of a vision system using the technology of depth maps, infrared depth sensor, laser rangefinder, lidar to determine the relief and geometric dimensions of the obj...
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