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Study on 3D reconstruction of the elastin second harmonic generation image 9

Study on 3D reconstruction of the elastin second harmonic ge...

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9th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2016

作者： Zhang, Encai Zhang, Kun Li, Jichun Chen, Guannan Key Laboratory of OptoElectonic Science and Technology for Medicine Ministry of Education Fujian Normal University Fuzhou350007 China Department of Network and Communication Engineering Fujian Normal University Fuzhou350007 China

ISBN: (纸本)9781509037100

3D reconstruction of image sequences is an important application in computer graphics and image processing, especially in biomedical engineering. 3D reconstruction of elastin second harmonic generation (SHG) sequences images can offer much more spatial structure information to improve the diagnostic accuracy significantly. In the paper, we designed a reconstruction pipeline of normal scar samples based on three reconstruction algorithms including Marching cubes, Ray casting volume rendering and Contours algorithm and compared their results. The results show that contours algorithm is more effective and has better performance than the other two methods. © 2016 IEEE.

关键词： Harmonic generation

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Objective Smoothness Metric for Just Noticeable Blur Estimation 9

Objective Smoothness Metric for Just Noticeable Blur Estimat...

引用

9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Lee, Mong-Shu Chiu, Kuan-Chih Natl Taiwan Ocean Univ Dept Comp Sci & Engn Keelung Taiwan

ISBN: (纸本)9781509037100

An objective blur measure is crucial for a variety of image processing applications, Traditional researches concentrate on a model estimating the amount of spatial high frequency. However, human vision detects blurriness might be influenced by the texture of image contents. To address the important issue, this paper presents a new objective metric designed as both measuring the inherent smooth texture and predicting the difference induced by blur distortion. The approach is based on the wavelet characterization of Besov function spaces and just noticeable difference of human vision. Then, the just noticeable blur is estimated from the derived psychometric function using the proposed metric and subjective scores. Experimental comparisons with state-of-the-arts quality metrics for public data bases show that the proposed metric achieved high correlation with the general objective quality or subjective metrics.

关键词： just noticeable difference psychometric function Besov space image quality assessment blur distortion

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Fast Robust image Restoration Using A New Neural Fusion Method 9

Fast Robust Image Restoration Using A New Neural Fusion Meth...

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9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Xia, Youshen Fuzhou Univ Coll Math & Comp Sci Fuzhou Peoples R China

ISBN: (纸本)9781509037100

This paper proposes a new neural fusion algorithm for fast robust image restoration without requiring the optimal regularization parameter. The new neural fusion algorithm is based on a new reduced dimension neural network (RDNN). The RDNN is guaranteed to obtain an optimal fusion weight. The proposed RDNN-based neural fusion algorithm uses only a very small solution space to compute the optimal fusion weight, unlike existing neural fusion algorithms with solution space dimension being grater than image size. Unlike current image restoration algorithms, the proposed neural fusion algorithm has a low-dimensional solution space Computed results show that the proposed new algorithm has a robust performance against non-Gaussian noise and can obtain a good image estimate at a fast speed by using the non-optimal regularization parameter.

关键词： image restoration optimal fusion estimate robustness fast computation

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Camera image Quality Assessment Without Reference Information 9

Camera Image Quality Assessment Without Reference Informatio...

引用

9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Tang, Lijuan Lu, Hong Gu, Ke Sun, Kezheng Jiangsu Vocat Coll Business Nanjing Jiangsu Peoples R China Nanjing Inst Technol Nanjing 211167 Jiangsu Peoples R China Nanyang Technol Univ Singapore Singapore

ISBN: (纸本)9781509037100

Blur plays an key part in evaluating of camera image quality. It leads to decrease of high frequency information and accordingly changes the image energy. Recent researches in quaternion singular value decomposition show that the quaternion's singular values and associated vectors can capture the distortion of color images, and thus singular values can be utilized to assess the sharpness of camera image. Based on this, a novel blind quality assessment method considering the integral color information and singular values of the blurred camera image is proposed for evaluating the sharpness of camera image. Pure quaternion is utilized to represent pixels of the blurred camera image and the energy of every block are obtained. Results confirm the superiority of the proposed blind algorithm in assessing camera images.

关键词： Singular value decomposition

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Anomaly Detection Techniques in Surveillance Videos 9

Anomaly Detection Techniques in Surveillance Videos

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9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Li, Xiaoli Cai, Ze-min Shantou Univ Coll Engn Dept Elect Engn Shantou Peoples R China Key Lab Digital Signal & Image Proc Guangdong Pro Shantou Peoples R China

ISBN: (纸本)9781509037100

In recent years, a dramatically increasing number of surveillance cameras have been installed to monitor private and public spaces and areas. Video surveillance is seen as an effective way to ensure our security. Therefore, modeling activity patterns and human behaviors for detection or recognition of peculiar event is a critical technology which has attracted remarkable research interest in the last few years. Various methods have been developed to build intelligent vision systems, this article extensively explain the current improvement made toward video-based human abnormal activity detection and wide applications in various fields range from monitoring in public spaces to personal health rehabilitation.

关键词： Security systems

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image Post-processing of a Quad-head Combined Aerial Camera and Its Surveying Application 9

Image Post-processing of a Quad-head Combined Aerial Camera ...

引用

9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Lin, Zhaorong Yao, Na Qin, Gaode Cui, Hongxia Beijing Inst Space Mech & Elect Res Off Aerial Opt Remote Sensing Beijing Peoples R China Shenzhen Polytech Sch Comp Engn Shenzhen Peoples R China Bohai Univ Dept Informat Sci & Technol Jinzhou Peoples R China

ISBN: (纸本)9781509037100

A quad-head combined aerial camera is first introduced in this paper. Due to its multiple center projection at each exposure station, an image post-processing procedure including camera calibration, matching, self-calibration stitching and color balancing is proposed to generate the stitched virtual image, in which the mathematical models of geometric calibration and self-calibration algorithms are primarily derived. The experiments show that the post-processing procedure has been capable of obtaining satisfying stitched virtual images. Besides, the related precisions of a 1:500 scale photogrammetry project has totally meet the requirements of national specifications of surveying and mapping.

关键词： combined camera camera calibration self-calibration stitching low altitude photogrammetry large scale mapping

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A Novel image Fusion Algorithm Using PCNN In NSCT Domain 9

A Novel Image Fusion Algorithm Using PCNN In NSCT Domain

引用

9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Jia, Yongxing Rong, Chuanzhen Zhu, Ying Yang, Yu Wang, Yuan PLA Univ Sci & Technol Coll Commun Engn Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781509037100

This paper proposed a novel image fusion framework based on PCNN in NSCT domain. Compared with the contourlet transform(CT), NSCT has translational invariance and can also overcome the image pseudo Gibbs phenomena around singularites. PCNN is evolved from mammal's visual cortex neuron model, and characterized by its pulse synchronization and acquisition of the neurons. Firstly, the source images were decomposed into low-frequency and high-frequency sub-bands, and in the fusion process, the summodified-laplacian(SML) was used to motivate PCNN. In the same time, the coefficients with larger firing times were selected as the fusion coefficients. Finally, the fused image can be obtained by the inverse NSCT. Experimental results show that the method is better than the traditional fusion methods, such as the wavelet transform, the contourlet transform and the PCNN based methods both in subjective appearance and objective criteria.

关键词： image fusion PCNN NSCT SML

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A Document Stitching Method Based On Optimal Seam 9

A Document Stitching Method Based On Optimal Seam

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9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Liu, Guoqiaug Chen, Jiehua Zheng, Yayu Zhejiang Univ Technol Coll Informat & Engn Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781509037100

With the development and application of the computer, the traditional paper documents can be stored and managed effectively after turning into digital images. In electronization of archives, a single camera is insufficient to gain a whole image clearly. At present, we generally shoot several images for stitching to obtain a complete and clear image. In document stitching, ghost has a quite large influence on fusion effect. A document stitching method based on optimal seam is proposed in this paper. When tilt correction for the archives is finished and overlapping regions are detected, binary images are extracted with OTSU algorithm. The area without archives is detected in the binary image horizontally and vertically by projection method and then search for feasible seams is made for stitching in the blank area so as to avoid ghost. Finally, the optimal seam is determined from the blank area. The experimental results show that the effect of registration ghost is eliminated and a good blending effect is achieved.

关键词： component image mosaicing optimal seam projection method

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An Assessment Method of Tongue image Quality in Traditional Chinese Medicine 9

An Assessment Method of Tongue Image Quality in Traditional ...

引用

9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Zhang, Xiang Zhang, Xinfeng Wang, Bo Chao Hu, Guangqin Beijing Univ Technol Coll Elect & Control Engn Beijing Peoples R China Minist Educ Engn Res Ctr Digital Commun Beijing 100124 Peoples R China

ISBN: (纸本)9781509037100

In the paper, we present a method for evaluating the quality of tongue images in Traditional Chinese Medicine (TCM). First, we preprocess the original images to segment the tongue images. Second, geometric features, texture features and spectral entropy features and spatial entropy features based on Spatial-Spectral Entropy-based Quality (SSEQ) index of tongue images are extracted respectively to form 17 dimensional feature vector for the tongue image quality assessment. Finally, Support vector machine (SVM) model is used to classify the samples. The experimental result shows that our method has a better effect on the tongue image quality assessment for the objectification of tongue diagnosis.

关键词： tongue image TCM quality assessment feature extraction SVM

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Brain Tumor CT image Segmentation Based on SLIC0 Superpixels 9

Brain Tumor CT Image Segmentation Based on SLIC0 Superpixels

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9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Wang, Xiaopeng Ma, Peng Zhao, JunJun Lanzhou Jiaotong Univ Sch Elect & Informat Engn Lanzhou 730070 Peoples R China

ISBN: (纸本)9781509037100

The brain tumor CT image segmentation frequently suffers from the fuzzy edges, and manual segmentation mainly relies on doctor's clinical experience. For the purpose to accurately segment brain tumor, a method for brain tumor CT image segmentation based on SLIC0 superpixels is proposed. Firstly, the simple linear iterative clustering version with 0 (SLIC0) is employed to generate superpixels;Secondly, region merging is adopted to merge the similar superpixels according to their gray, and finally segment the brain tumor regions. Experiments show that this method can accurately segment the target tumor, and segmentation accuracy can be adjusted by setting the pixel number of superpixels.

关键词： image segmentation brain tumor CT images SLIC0 superpixel region merging

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