image registration is widely used in remote sensing imageprocessing, medical image analysis and many other fields. Mutual information-based image registration technique gained much attention recently. However, during...
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image registration is widely used in remote sensing imageprocessing, medical image analysis and many other fields. Mutual information-based image registration technique gained much attention recently. However, during the optimization procedure, because of the influence of interpolation and the changes of overlapping areas in the images, the object function of the mutual information method may converge at local maximums so that wrong transformation parameters are generated as a result. In this paper, an improved simulated annealing–simplex method is proposed to solve this problem. Experiment results show that registration precision can reach to the sub-pixel level.
The imaging laser radar was an ideal imaging sensor to get the high precision 3D terrain for Terrain aided navigation (TAN). For the application, decreasing the mismatching rate was very important. In this paper, the ...
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The imaging laser radar was an ideal imaging sensor to get the high precision 3D terrain for Terrain aided navigation (TAN). For the application, decreasing the mismatching rate was very important. In this paper, the measurement model of imaging laser radar was introduced and a novel 3D terrain matching algorithm with low mismatching rate was presented. According to the theory of function orthogonal decomposition, a terrain orthogonal decomposition feature vector (TODFV), composed of the orthogonal decomposition coefficients of the digital elevation map (DEM), was employed to represent the features of the terrain. Then TODFV was used to generate an interim matching position vector (IMPV). The IMPV were utilized to do real-time confidence analysis to improve the matching confidence, and were fused to give the final matching at the last. The algorithm could effectively decrease the mismatching rate of terrain matching algorithm, and improved the reliability of TAN. Experiments showed that the algorithm was effective and robust.
The imaging laser radar is fine measure equipment for TAN with the ability to get the high precision 3D terrain. A 3D terrain matching processor was needed to be designed for the specifical application. In this paper,...
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The imaging laser radar is fine measure equipment for TAN with the ability to get the high precision 3D terrain. A 3D terrain matching processor was needed to be designed for the specifical application. In this paper, base on the specialty of the imaging laser radar, the3D terrain matching processor was designed, with scheme of DSP+FPGA calculating engine, multi-level memory system, flexible parallel architecture, and FPGA-embedded accelerators. A parallel correlating accelerator base on 2D modular systolic array and other structures were designed to improve the system performance in FPGA. In the end, with strictly abiding the rules of high-speed circuit designing, the detail physical implement was drawn out. The experiments showed that the system could work well in the harsh military environment with high real-time, high reliability, and flexible architecture.
In wireless sensor networks, to obtain a long network lifetime is a fundamental issue while without sacrificing crucial aspects of quality of service (area coverage, sensing reliability, and network connectivity). In ...
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In wireless sensor networks, to obtain a long network lifetime is a fundamental issue while without sacrificing crucial aspects of quality of service (area coverage, sensing reliability, and network connectivity). In this paper, we present a Voronoi-based sleeping configuration to deal with different sensing radii and location error. With our proposed sleeping candidate condition, redundant sensors are optionally identified and scheduled to sleep in order to extend the system lifetime while maintaining adequate sensor redundancy to tolerate sensor failures, energy depletions, and location error. Simulation results show that there is a tradeoff among energy conservation, area coverage, and fault tolerance, which varies between different sleeping candidate conditions.
To infrared images, the contrast of target and background is low, dim small targets have no concrete shapes and their textures cannot be reliable predicted. The paper puts forward a novel algorithm to fuse mid-wave an...
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To infrared images, the contrast of target and background is low, dim small targets have no concrete shapes and their textures cannot be reliable predicted. The paper puts forward a novel algorithm to fuse mid-wave and long-wave infrared images and detect targets. Firstly, the source images are decomposed by wavelet transformation. In usual, targets in infrared images are man-made, and their fractal dimension is different comparing with natural background. In wavelet transformation domain high-frequency part, we calculate local fractal dimension and set up fusion rule to merge corresponding sub-images of two matching source images. In low-frequency, we extract local maximum gray level to fuse them. Then reconstruct image by wavelet inverse transformation and obtain fused result image. In fusion results, the contrast between targets and background has obvious changes. And targets can be detected using contrast threshold. The experimental results show that the method proposed in this paper using wavelet transformation fractal dimension to fuse dual band infrared images, and then detect targets is better than using mid-wave or long -wave infrared images detect targets alone.
In this paper, we presented a ringing metric to evaluate the quality of images restored using iterative image restoration algorithms. A ringing metrics is used to assessment the restored images based on the Gabor filt...
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In this paper, we presented a ringing metric to evaluate the quality of images restored using iterative image restoration algorithms. A ringing metrics is used to assessment the restored images based on the Gabor filter. The experimental results validate the proposed method perform well over a wide range of restoration image ringing levels assessment. And the proposed model has given good agreement with observer ratings obtained in subjective experiments.
This paper presents an efficient face segmentation approach based on face attention model and seeded region merging.A face attention model that jointly exploits the information of skin color and eye's position is ...
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This paper presents an efficient face segmentation approach based on face attention model and seeded region merging.A face attention model that jointly exploits the information of skin color and eye's position is first constructed to obtain a facial saliency map,which indicates the position of possible faces and is used to determine seed *** a seeded region merging algorithm based on regional facial saliency is proposed to generate a sequence of regions,and the region with the highest regional facial saliency is selected to represent each *** results on a variety of images demonstrate the good segmentation performance of the proposed face segmentation algorithm.
A quick 3D needle segmentation algorithm for 3D US data is described in this paper. The algorithm includes the 3D quick randomized Hough transform (3DGHT), which is based on the 3D randomized Hough transform and coars...
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A quick 3D needle segmentation algorithm for 3D US data is described in this paper. The algorithm includes the 3D quick randomized Hough transform (3DGHT), which is based on the 3D randomized Hough transform and coarse-fine searching strategy. We tested it with water phantom. The results show that our algorithm works well in 3D US images with angular deviation less than 1 degree and position deviation less than 1 mm, and the computational time of segmentation with 35 MB data is within 1s.
A theoretical study for modeling technique of the remote sensing image classification based on the minimum description length (MDL) principle is presented in the paper. According to the MDL principle, modeling problem...
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A theoretical study for modeling technique of the remote sensing image classification based on the minimum description length (MDL) principle is presented in the paper. According to the MDL principle, modeling problem is an optimization procedure to find the shortest expected code length. Kullback-Leibler (KL) divergence is adopted as the system cost function to measure expected codelength, and the codelength will be the model we desired. The advantage of using the MDL principle to build appropriate model is analyzed theoretically, model optimization technique also is described.
This paper describes a novel 3D needle segmentation algorithm for 3DUS data. The algorithm includes the 3D Gray-level Hough Transform (3DGHT), which is based on the representation (ψ, θ, ρ, α) of straight lines in...
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