Meng Yi

Xidian University, Ch’ang-an, Shaanxi, China

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Publications (9)0.56 Total impact

  • Meng Yi · B.-L. Guo · C.-M. Yan
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    ABSTRACT: In many moving object detection problems of an aerial video, accurate and robust stabilization is of critical importance. In this paper, a novel accurate image alignment algorithm for aerial electronic image stabilization (EIS) is described. The feature points are first selected using optimal derivative filters based Harris detector, which can improve differentiation accuracy and obtain the precise coordinates of feature points. Then we choose the Delaunay Triangulation edges to find the matching pairs between feature points in overlapping images. The most “useful” matching points that belong to the background are used to find the global transformation parameters using the projective invariant. Finally, intentional motion of the camera is accumulated for correction by Sage-Husa adaptive filtering. Experiment results illustrate that the proposed algorithm is applied to the aerial captured video sequences with various dynamic scenes for performance demonstrations.
    No preview · Article · Sep 2014 · KSII Transactions on Internet and Information Systems
  • M. Yi · B.-L. Guo · C.-M. Yan
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    ABSTRACT: Robust point matching is a critical and challenging process in feature-based image registration. In this paper, an invariant feature point matching algorithm is presented by introducing the Polar Complex Exponential Transform (PCET), a new kind of orthogonal moment reported recently. Similar to orthogonal complex moments, PCETs is defined on a circular domain. The magnitudes of PCETs are invariant to image rotation and scale. Furthermore, the PCETs are free of numerical instability, so they are more suitable for building shape descriptor. In this paper, the invariant properties of PCETs are investigated, and the accurate moments are selected elaborately. During similarity measurement, the cross correlation function is reconstructed by invariant PCET moments (IPCETs) combining both the magnitude and phase coefficients and maximized to match the control-point pairs. Then the most "useful" matching points that belong to the background are used to find the global transformation parameters between the frames using the projective invariant. The discriminative power of the new IPCETs descriptor is compared with major existing region descriptors (complex moments, SIFT and GLOH). The experimental results, involving more than 10 million region pairs, indicate the proposed IPCETs descriptor has, generally speaking, produce a more robust registration under photometric and geometric performances.
    No preview · Article · May 2014
  • Chun-Man Yan · Bao-Long Guo · Meng Yi
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    ABSTRACT: The multiscale geometric analysis (MGA) has been recognized as an effective strategy for image processing. As one of the discrete tools of MGA, the nonsubsampled contourlet transform (NSCT) has been widely used for image denoising, image fusion, image enhancement, feature extraction and so on. However, the processing performance is limited due to its high redundancy, and leading to an intensive computational efficiency. Therefore, its fast algorithm is desired in practice. In this paper, we adopt an optimized directional filter bank (DFB) and embed it into the NSCT to significantly accelerate the computational speed while keeping slight loss of the reconstructed performance. Experimental results show that the reconstructed image quality can satisfy the human visual system. Moreover, the improved NSCT has a speed about several times than that of the traditional one. Experimental results on image denoising also validate the feasibility and efficiency of the proposed method.
    No preview · Article · Apr 2014 · Zidonghua Xuebao/Acta Automatica Sinica
  • M. Yi · B.-L. Guo · C.-M. Yan
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    ABSTRACT: A global aerial-video registration algorithm using the optimal derivative filters is proposed. Firstly, the Hession detector based on optimal derivative filters is presented to determine the location of feature points. To ensure that the same feature points are detected in images with different focus from camera, we choose feature points that constant across the three resolutions. Then the minimum spanning tree (MST) is used to find initial matching. Once matching feature points have been found, the transformation parameters which have global minimum error are then estimated using non-linear least squares (NLLS)and random sample consensus (RANSAC) method. Finally the image registration is finished. Experimental results show that by accurately registering frames at the background using optimal derivative filter and globally-optimal transformation model, the technique is robust under different dynamic scenes and illuminations.
    No preview · Article · Jun 2012 · Guangdianzi Jiguang/Journal of Optoelectronics Laser
  • Chunman Yan · Baolong Guo · Meng Yi
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    ABSTRACT: Based on Laplacian pyramid(LP) transform and the pulse coupled neural network(PCNN), a multifocus image fusion algorithm with antinoise properties is proposed. Firstly, the improved LP transform is adopted to construct the pyramidal data of image, the data are inputted into adaptive PCNN, and through the iterative operation by the PCNN, the firing time matrixes of them can be obtained. Then these matrixes and the pyramidal data are used by the decision operator for data fusion. Finally, the fused pyramidal data are reconstructed by using the pseudo inverse to obtain the fused image. The experimental results show that the proposed algorithm has antinoise properties for additive noise and system noise from JPEG compression, and can efficiently reduce the "pseudo Gibbs" phenomenon which is inevitable in the fused image by using the traditional LP algorithm.
    No preview · Article · May 2012 · Kongzhi yu Juece/Control and Decision
  • M. Yi · B.-L. Guo · C.-M. Yan
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    ABSTRACT: As the Harris detector can produce false and unstable corners, and obtained matching points have different accuracies in aerial video registration, an aerial video registration algorithm using optimal gradient filters and projective invariant was proposed. Firstly, a Harris detector based on optimal gradient filters was presented to determine the location of corners, and the locally most stable points were selected to be matching points. Then, the Delaunay triangulation was used to perform the initial matching. Finally, the most "useful" matching points that best satisfied the cross-ratio invariant were presented to estimate the geometry transformation and finish the image registration. Experiment results show that the proposed method by the optimal gradient filters and cross-ratio invariant can realize the registration between the frames, and the average geometric fidelity error is 0.869 for 8 sets of the unmanned video sequences with a resolution of 320 pixel×240 pixel. The method can capture moving objects effectively.
    No preview · Article · Mar 2012 · Guangxue Jingmi Gongcheng/Optics and Precision Engineering
  • Meng Yi · Bao-long Guo · Chun-man Yan
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    ABSTRACT: In many registration problems of an aerial video images, computational complexity and precision is of critical importance. In this paper an new aerial video images registration algorithm based on optimal derivative filters with Scene-Adaptive Corners is proposed. Firstly, the Harris detector based on optimal derivative filters is presented and scene-adaptation is used to control the number of feature points, Then through comparing the euclidean distance of the SURF(speed up robust feature) descriptors defined on the corner neighborhoods, the corresponding matches are established. Lastly, the transformation parameters are estimated using the invariant of five coplanar points, then the most "useful" matching points are used to register the frames. Experiment results illustrate that the proposed algorithm carries out accurate image registration and is robust to large image translation, scaling and rotation.
    No preview · Conference Paper · Sep 2011
  • Meng Yi · Bao-Long Guo · Xu Zhang
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    ABSTRACT: An automatic image mosaic method based on the optimal derivative filters with well-distributed was proposed. Firstly interest points in an image are detected by Harris operator with optimal derivative filters, delaunay triangulation is used to reject the spurious feature points pair and estimate the parameters of geometric transform model. After the geometric transform of input images, the two images were fused and the image stitching was finished. The experimental results show that the proposed algorithm produces an improvement in mosaic accuracy�√ efficiency and robustness.
    No preview · Article · Jan 2011
  • Chunman Yan · Baolong Guo · Meng Yi
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    ABSTRACT: The contourlet Transform is an efficient directional multiresolution image representation, but it is not shift-invariant. The nonsubsampled contourlet transform (NSCT), is a fully shift-invariant, multiscale, and multidirection expansion that has a fast implementation, but the computational efficiency is lower than the contourlet transform, such an efficient representation has to be obtained by structured transform and fast algorithm. In this paper, we adopt an optimized directional filter bank and embed it into NSCT to pursue the desired speed, sacrificed the PSNR of the reconstructed image, we obtain the obvious increase of processing speed. Experimental results show that the quality of reconstructed image is sufficient for the human visual system (HVS), and the modified NSCT has a speed about several times than the speed of the customary one, this is very valuable for practical applications of the NSCT.
    No preview · Conference Paper · Aug 2010