Telemedicine is drawing greater attention to improve the health care delivery. Video coding being an integral part of any real-time telemedicine system is used to deliver diagnostic video stream to remote physician. Realizing a video coding system customized for telemedicine, using the available technologies poses several challenges. In this paper, we have analyzed state-of-the-art video codecs for adoption in telemedicine customized video conferencing system under low-bandwidth and low-computational scenarios. The experimental results for the selected video codec implementations for medical videos reveal that the HEVC encoder achieves equivalent objective video quality when using approx. 60% bit rate on average. However, the gain in coding efficiency is at the expense of increased computational complexity, which could be dealt with by incorporating adaptive interpolation and selective quality enhancement techniques to achieve real-time performance.
Though slope disaster management practice has accumulated a lot of success and failure of slope treatment project cases, large amounts of data information produced by these engineering cases were not been taken full advantage of therefore caused great waste of resources. Fully development and usage of large amounts of stability-known slope experience undoubtedly have important practical significance. Therefore, based on the usage of previous open-pit mine slope engineering cases, this paper proposes an intelligent slope stability evaluation system based on case-based reasoning. The system uses frame to represent store cases, uses analytic hierarchy process to determine the weight of case attribute, uses similarity calculation method based on Euclidean distance to retrieve case in order to get the result, and finally analyzes the results or reforms the case base if problems exist. Through experimental analysis, this paper proves the validity and feasibility of the system.
Now, gait recognition for identification has received more and more attention from biometrics researchers. Gait Energy Image(GEI) is an efficient represent method and Gabor wavelet has many excellent property, so we use the Gabor wavelet to extract the amplitude and phase feature of GEI, research their recognition ability respectively, at last, fusion the two features in rank level to gait recognition. The algorithm is tested in the CASIA Datasets A and gain high correct recognition rates.
The traditional SIFT algorithm is popular to extract the feature points of target objects, but it also brings the feature points of non-target objects together, leading to mismatching. This paper proposes an improved SIFT algorithm based on adaptive threshold canny operator. In the proposed method, since it has the advantages of accurate edge detection and anti-noise ability, the adaptive threshold canny operator is first employed to detect the edges of an image, and then we can find the feature points by SIFT in the peripheral region of the edges. By introducing the adaptive threshold canny operator, the target objects can be separated from background, largely increasing the matching rate of SIFT algorithm. Experimental results demonstrate that, compared with the traditional SIFT and SURF algorithms, the proposed method can improve the robustness of feature points and further increase the matching rate, meanwhile reducing the cost of running time in a certain extent.
We apply linear sampling method for reconstructing an arbitrarily shaped perfectly conducting crack in limited-view problem. This is based on the physical decomposition of the multi-static response matrix (MSR) in transverse magnetic (TM) polarization. Various numerical results are exhibited to show the strengths and weaknesses of the applied method.
