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Research on Bayes Matting Algorithm Based on Gaussian Mixture Model 9

Research on Bayes Matting Algorithm Based on Gaussian Mixtur...

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9th international symposium on multispectral image processing and pattern recognition (MIPPR) - pattern recognition and Computer Vision

作者： Quan, Wei Jiang, Shan Han, Cheng Zhang, Chao Jiang, Zhengang Changchun Univ Sci & Technol Sch Comp Sci & Technol Changchun Peoples R China

ISBN: (纸本)9781510600546

The digital matting problem is a classical problem of imaging. It aims at separating non-rectangular foreground objects from a background image, and compositing with a new background image. Accurate matting determines the quality of the compositing image. A Bayesian matting Algorithm Based on Gaussian Mixture Model is proposed to solve this matting problem. Firstly, the traditional Bayesian framework is improved by introducing Gaussian mixture model. Then, a weighting factor is added in order to suppress the noises of the compositing images. Finally, the effect is further improved by regulating the user's input. This algorithm is applied to matting jobs of classical images. The results are compared to the traditional Bayesian method. It is shown that our algorithm has better performance in detail such as hair. Our algorithm eliminates the noise well. And it is very effectively in dealing with the kind of work, such as interested objects with intricate boundaries.

关键词： digital matting natural image sampling Bayesian matting Gaussian Mixture model

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Fusion of infrared and visible images based on saliency scale-space in frequency domain 9

Fusion of infrared and visible images based on saliency scal...

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9th international symposium on multispectral image processing and pattern recognition (MIPPR) - pattern recognition and Computer Vision

作者： Chen, Yanfei Sang, Nong Dan, Zhiping Huazhong Univ Sci & Technol Sch Automat Natl Key Lab Sci & Tech Multispectral Informat Pr Wuhan 430074 Peoples R China Wuhan Inst Technol Sch Elect & Informat Engn Wuhan 430073 Peoples R China China Three Gorges Univ Inst Intelligent Vis & Image Informat Yichang 443002 Peoples R China

ISBN: (纸本)9781510600546

A fusion algorithm of infrared and visible images based on saliency scale-space in the frequency domain was proposed. Focus of human attention is directed towards the salient targets which interpret the most important information in the image. For the given registered infrared and visible images, firstly, visual features are extracted to obtain the input hypercomplex matrix. Secondly, the Hypercomplex Fourier Transform (HFT) is used to obtain the salient regions of the infrared and visible images respectively, the convolution of the input hypercomplex matrix amplitude spectrum with a low-pass Gaussian kernel of an appropriate scale which is equivalent to an image saliency detector are done. The saliency maps are obtained by reconstructing the 2D signal using the original phase and the amplitude spectrum, filtered at a scale selected by minimizing saliency map entropy. thirdly, the salient regions are fused with the adoptive weighting fusion rules, and the nonsalient regions are fused with the rule based on region energy (RE) and region sharpness (RS), then the fused image is obtained. Experimental results show that the presented algorithm can hold high spectrum information of the visual image, and effectively get the thermal targets information at different scales of the infrared image.

关键词： image fusion saliency Hypercomplex Fourier Transform(HFT) infrared

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Infrared Medical image Visualization and Anomalies Analysis Method 9

Infrared Medical Image Visualization and Anomalies Analysis ...

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9th international symposium on multispectral image processing and pattern recognition (MIPPR) - Parallel processing of images and Optimization;and Medical Imaging processing

作者： Gong, Jing Chen, Zhong Fan, Jing Yan, Liang Huazhong Univ Sci & Technol Coll Automat Luoyu Rd 1037 Wuhan 430074 Peoples R China Sci & Technol Multispectral Informat Proc Laborar Wuhan 430074 Peoples R China Beijing Aerosp Automat Control Inst Sci & Technol Aerosp Intelligent Control Lab Beijing 100854 Peoples R China

ISBN: (纸本)9781510600553

Infrared medical examination finds the diseases through scanning the overall human body temperature and obtaining the temperature anomalies of the corresponding parts with the infrared thermal equipment. In order to obtain the temperature anomalies and disease parts, Infrared Medical image Visualization and Anomalies Analysis Method is proposed in this paper. Firstly, visualize the original data into a single channel gray image;secondly, turn the normalized gray image into a pseudo color image;thirdly, a method of background segmentation is taken to filter out background noise;fourthly, cluster those special pixels with the breadth-first search algorithm;lastly, mark the regions of the temperature anomalies or disease parts. The test is shown that it's an efficient and accurate way to intuitively analyze and diagnose body disease parts through the temperature anomalies.

关键词： visualization pseudo color image segmentation cluster

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Cytoplasm enhancement operator of peripheral blood smear images that are instable-stained and over-exposed 9

Cytoplasm enhancement operator of peripheral blood smear ima...

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9th international symposium on multispectral image processing and pattern recognition (MIPPR) - Parallel processing of images and Optimization;and Medical Imaging processing

作者： Zheng, Xin Wang, Guoyou Liu, Jianguo Anqing Normal Univ Sch Comp & Informat Anqing 246133 Anhui Peoples R China Huazhong Univ Sci & Technol Natl Key Lab Sci & Technol Multispectral Informat Wuhan 430074 Peoples R China

ISBN: (纸本)9781510600553

Nucleus and cytoplasm are both essential for white blood cell recognition but the edges of cytoplasm are too blurry to be detected because of instable staining and overexposure. This paper aims at proposing a cytoplasm enhancement operator (CEO) to achieve accurate convergence of the active contour model. The CEO contains two parts. First, a nonlinear over-exposure enhancer map is yielded to correct over-exposure, which suppresses background noise while preserving details and improving contrast. Second, the over-exposed regions of cytoplasm in particular is further enhanced by a tri-modal histogram specification based on the scale-space filtering. The experimental results show that the proposed CEO and its corresponding GVF snake is superior to other unsupervised segmentation approaches.

关键词： image enhancement histogram specification scale-space filtering white blood cell Active contours

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Novel image fusion methods using intuitionistic index 9

Novel image fusion methods using intuitionistic index

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9th international symposium on multispectral image processing and pattern recognition (MIPPR) - pattern recognition and Computer Vision

作者： Wang, Zirui Wang, Zhihui Inner Mongolia Univ Dept Elect Engn Coll Elect Informat & Engn Hohhot 010021 Peoples R China

ISBN: (纸本)9781510600546

In this paper, we present new methods for image fusion based on intuitionistic index in spatial domain and contourlet transform domain, furthermore we adopt two ways to fuse images in contourlet domain. When constructing an intuitionistic fuzzy set, we use the Gamma function to get the membership degree, and the Sugeno complementation to get the non-membership degree. Based on the information theory, the larger the hesitancy is, the more information it has. So we set up a fusion rule, by which the larger hesitancy will be chosen, to get a fused image from multi-focus images or remote sensing ones. We compare these new algorithms to some classical image fusion algorithms. The results show, for multi-focus image, these new algorithms are better comparing to other algorithms, and they can get a good fusion result, especially the contourlet transformation algorithm using the intuitionistic index. For remote sensing image, these new algorithms are not the best, but they can also get a well fusion result.

关键词： image fusion Fuzzy sets theory application Atanassov's intuitionisticfuzzy sets(A-IFSs) contourlet transform

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Research on Three-dimensional Positioning method of Big Data image Under Bag of Words Model Guidance 9

Research on Three-dimensional Positioning method of Big Data...

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9th international symposium on multispectral image processing and pattern recognition (MIPPR) - pattern recognition and Computer Vision

作者： Zhang, Chunsen Wang, Xiqi Qiu, Zhenguo Zhu, Shihuan Xu, Xiaolei Zhong, Sidong Xian Univ Sci & Technol Coll Geomat Xian 710054 Shanxi Peoples R China Wuhan Univ Elect Informat Sch Wuhan 430072 Peoples R China

ISBN: (纸本)9781510600546

In order to retrieve the positioning image efficiently and quickly from a large number of different images to realize the three-dimensional spatial positioning, in this article, based on photogrammetry and computer vision theory, a new method of three-dimensional positioning of big data image under the bag of words model guidance is proposed. The method consists of two parts: image retrieving and spatial positioning. First, complete image retrieval by feature extraction, K-means clustering, bag of words model building and other processes, thus improve the efficiency of image matching. Second, achieve interior and exterior orientation element through image matching, building projection relationship and calculating the projection matrix, and then the spatial orientation is realized. The experimental result showed that the proposed method can retrieve the target image efficiently and achieve spatial orientation accurately, which made a beneficial exploration for achieving space positioning based on big data images.

关键词： bag of words model image retrieval SIFT k-means clustering positioning

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Study on local Gabor binary patterns for face representation and recognition 9

Study on local Gabor binary patterns for face representation...

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9th international symposium on multispectral image processing and pattern recognition (MIPPR) - pattern recognition and Computer Vision

作者： Ge, Wei Han, Chunling Quan, Wei Changchun Univ Sci & Technol Inst Elect & Informat Engn Weixing Rd 7089 Changchun Peoples R China

ISBN: (纸本)9781510600546

More recently, Local Binary patterns(LBP) has received much attention in face representation and recognition. The original LBP operator could describe the spatial structure information, which are the variety edge or variety angle features of local facial images essentially, they are important factors of classify different faces. But the scale and orientation of the edge features include more detail information which could be used to classify different persons efficiently, while original LBP operator could not to extract the information. In this paper, based on the introduction of original LBP-based facial representation and recognition, the histogram sequences of local Gabor binary patterns are used to representation facial image. Principal Component Analysis (PCA) method is used to classification the histogram sequences, which have been converted to vectors. recognition experimental results show that the method we used in this paper increases nearly 6% than the classification performance of original LBP operator.

关键词： Local Binary patterns face representation face recognition Gabor filter histogram sequence principal component analysis classification local Gabor binary pattern

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Research on the influence of scan path of image on the performance of information hiding algorithm 9

Research on the influence of scan path of image on the perfo...

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9th international symposium on multispectral image processing and pattern recognition (MIPPR) - Remote Sensing image processing, Geographic Information Systems, and Other Applications

作者： Yan, Su Xie, Chengjun Huang, Ruirui Xu, Xiaolong Beihua Univ Coll Comp Sci & Technol Fengman 132021 Jilin Peoples R China

ISBN: (纸本)9781510600560

This paper carried out a study on information hiding performance using technology of histogram shift combining hybrid transform. As the approach of data selection, scan path of images is discussed. Ten paths were designed and tested on international standard testing images. Experiment results indicate that scan path has a great influence on the performance of image lossless information hiding. For selected test image, the peak of optimized path increased up to 9.84% while that of the worst path dropped 24.2%, that is to say, for different test images, scan path greatly impacts information hiding performance by influencing image redundancy and sparse matrix.

关键词： lossless information hiding image scan path histogram peak shift image hybrid transform

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Facial Symmetry Assessment Based on Geometric features 9

Facial Symmetry Assessment Based on Geometric features

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9th international symposium on multispectral image processing and pattern recognition (MIPPR) - Automatic Target recognition and Navigation

作者： Xu Guoping Cao Hanqiang Huazhong Univ Sci & Technol Sch Elect Informat & Commun Wuhan 430074 Peoples R China

ISBN: (纸本)9781510600539

Face image symmetry is an important factor affecting the accuracy of automatic face recognition. Selecting high symmetrical face image could improve the performance of the recognition. In this paper, we proposed a novel facial symmetry evaluation scheme based on geometric features, including centroid, singular value, in-plane rotation angle of face and the structural similarity index (SSIM). First, we calculate the value of the four features according to the corresponding formula. Then, we use fuzzy logic algorithm to integrate the value of the four features into a single number which represents the facial symmetry. The proposed method is efficient and can adapt to different recognition methods. Experimental results demonstrate its effectiveness in improving the robustness of face detection and recognition.

关键词： Facial symmetry face image quality SSIM singular value geometric features fuzzy logical

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Research on earthquake prediction from infrared cloud images 9

Research on earthquake prediction from infrared cloud images

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9th international symposium on multispectral image processing and pattern recognition (MIPPR) - Remote Sensing image processing, Geographic Information Systems, and Other Applications

作者： Jing, Fan Zhong, Chen Liang, Yan Jing, Gong Dong, Wang Huazhong Univ Sci & Technol Coll Automat Wuhan 430074 Peoples R China Sci & Technol Multispectral Informat Proc Lab Wuhan 430074 Peoples R China Beijing Aerosp Automat Control Inst Sci & Technol Aerosp Intelligent Control Lab Beijing 100854 Peoples R China

ISBN: (纸本)9781510600560

In recent years, the occurrence of large earthquakes is frequent all over the word. In the face of the inevitable natural disasters, the prediction of the earthquake is particularly important to avoid more loss of life and property. Many achievements in the field of predict earthquake from remote sensing images have been obtained in the last few decades. But the traditional prediction methods presented do have the limitations of can't forecast epicenter location accurately and automatically. In order to solve the problem, a new predicting earthquakes method based on extract the texture and emergence frequency of the earthquake cloud is proposed in this paper. First, strengthen the infrared cloud images. Second, extract the texture feature vector of each pixel. Then, classified those pixels and converted to several small suspected area. Finally, tracking the suspected area and estimate the possible location. The inversion experiment of Ludian earthquake show that this approach can forecast the seismic center feasible and accurately.

关键词： Earthquake prediction remote sensing Infrared pattern recognition

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