Target detection and location in infrared clutter background is very important to infrared search and track system. Especially for small target detection in infrared image in background of sea and sky, there are no ge...
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Target detection and location in infrared clutter background is very important to infrared search and track system. Especially for small target detection in infrared image in background of sea and sky, there are no geometric and structure character to use. When targets such as ship and naval vessel sailing at long distance, they always appear around the sea-level line, and it is mixed with cloud and sea-wave clutter. It is difficult to segment and locate precisely. Background suppression based-on wavelet transformation is proposed in the paper. Wavelet decomposition makes it possible to analyze a signal both in time and frequency domains. In the paper infrared sea and key background images are processed. For their SNR is low and background is complex, using wavelet transformation decomposes an original image and extract approximate feature to reconstruct an image, which mainly includes background information. A new image would be obtained using background image subtracted from original image. There are mainly target and noise points left in the new image. By setting proper threshold, the target can be detected perfectly. At last, experiment results are given and show the method is practical.
A simple but effective algorithm which is based on minimizing the maximum discrepancy clustering was presented. Two new metrics of distance between any two triangles is developed. By the new distance metrics, the clus...
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A simple but effective algorithm which is based on minimizing the maximum discrepancy clustering was presented. Two new metrics of distance between any two triangles is developed. By the new distance metrics, the clustering method is easily extended to divide the input mesh into several connected regions. Furthermore, a post-processing algorithm, constrained boundary straightening, was proposed to regularize the shapes of partitioned regions. The experiments show that this two-step solution for mesh segmentation performs well in both region planarity and region shape.
This paper presented a novel algorithm to extract eye features, including pupil center and radius, eye corners and eyelid contours, from frontal face images. Such features are very useful cues for applications like fa...
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This paper presented a novel algorithm to extract eye features, including pupil center and radius, eye corners and eyelid contours, from frontal face images. Such features are very useful cues for applications like face recognition, facial expression recognition and 3D face modeling from 2D images. The novel method is based on color information, Gabor features and the mutual localization relationship between different features. It works in three steps: (1) Pupil center is detected and estimated in H channel of HSV color space, and then pupil radius is estimated and refined;(2) Eye corners are localized using eye-corner filter based on Gabor feature space;(3) Based on the first and second steps, eyelid curves are fitted by spline function. The experimental results on SJTU dataset show sufficient accuracy and robustness of the novel method.
A remote quick rendering model was put forward, based on both the remote mutual control mode of client-server and 3D-texture mapping volume rendering algorithm, aiming at the procession of some medical images of large...
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A remote quick rendering model was put forward, based on both the remote mutual control mode of client-server and 3D-texture mapping volume rendering algorithm, aiming at the procession of some medical images of large data sets. The experiment proves the validity of the rendering model in meeting the demand of rapid and interactive process of medical images on Internet. Compared to the traditional single-computer hardware setting, this model guarantees higher speed and qualified image quality as well.
The algorithm converts the images into basic graph and super graph, and then treats the interferential curve as principal curve to detect principal curve in images. In the detection, an improved shortest path algorith...
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The algorithm converts the images into basic graph and super graph, and then treats the interferential curve as principal curve to detect principal curve in images. In the detection, an improved shortest path algorithm and orientation offset algorithm are used, and finally, the detected curve is removed from the original image. The experiments conducted with a variety of text images show that this algorithm is effective for eliminating interferential curve of text in images.
An approach based on stroke orientation and asymmetric distribution model about feature parameter was proposed, which incorporates structural feature into statistical strategy. An improvement to the algorithm for extr...
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An approach based on stroke orientation and asymmetric distribution model about feature parameter was proposed, which incorporates structural feature into statistical strategy. An improvement to the algorithm for extracting fork points from skeleton images defends the reliability of stroke extraction. The feature vector for statistical recognition is extracted directly from stroke structure, and the asymmetric distribution model is applied to compute distances. The experimental results indicate that the proposed system is effective to handwritten Chinese character recognition.
The purpose of trace reconstruction is to recover information about handwriting sequence from static images of characters, which helps incorporate online methods into offline applications and unify the recognition str...
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The purpose of trace reconstruction is to recover information about handwriting sequence from static images of characters, which helps incorporate online methods into offline applications and unify the recognition strategies of single character and character sequence. A stroke segment-based algorithm was proposed, which is equal to the problem of ordering the stroke segments in nature. Structural graph of stroke segments is extracted from skeleton images, by which the relational graph is created. Trace reconstruction is realized as a globally optimal problem, and the handwriting trace is considered as the path with the totally minimal orientation variance, which can be resolved by searching a Hamiltonian path with minimal cost. The cases of trace reconstruction were analyzed, and the accuracy reaches 93.5% on 200 images. The experimental results indicate the proposed approach is effective to the reconstruction of handwriting traces of handwritten numerals.
This paper presents a visual surveillance system for the automatic scene interpretation of airport aprons. The system comprises two modules - scene tracking and scene understanding. The scene tracking module, comprisi...
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This paper presents a visual surveillance system for the automatic scene interpretation of airport aprons. The system comprises two modules - scene tracking and scene understanding. The scene tracking module, comprising a bottom-up methodology, and the scene understanding module, comprising a video event representation and recognition scheme, have been demonstrated to be a valid approach for apron monitoring
Outliers are data values that lie away from the general cluster of other data values. Detecting the outliers of a dataset is an important research topic for data cleaning and finding new useful knowledge in many resea...
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This study is to quantitatively evaluate abnormal movement of mitral apparatus (MA) in patient with congenital mitral valve regurgitation using self-designed three dimensional motion analyses software and enable docto...
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This study is to quantitatively evaluate abnormal movement of mitral apparatus (MA) in patient with congenital mitral valve regurgitation using self-designed three dimensional motion analyses software and enable doctors to intuitionistic and "en-face" visualize the mitral valve's movement by using pseudocolor coding of the moving velocity of mitral valve leaflet. Initial evaluation of the software was conducted in 20 children with congenital mitral valve regurgitation (MR) including 10 children with mild MR and 10 children with moderate to severe MR. Results showed that, the moving velocity of the rough zone of mitral valve during systolic phase in children with moderate to severe MR is much high than that in control group. It's indicated that three dimensional motion analysis of mitral valve could emerge to be a new potential useful parameter for evaluation the truly mechanism of MR
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