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检索条件"任意字段=International Congress on Image and Signal Processing, BioMedical Engineering and Informatics"

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No-Reference image Sharpness Algorithm Based on Gradient Shape 9

No-Reference Image Sharpness Algorithm Based on Gradient Sha...

引用

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

作者： Ni, Jun Luo, Gen Yu, Tao Li, NingChuan China Jiliang Univ Coll Opt & Elect Technol Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781509037100

image sharpness is an important aspect of image quality. It used to measure the degree of focus at the time of image acquisition. It also play an important role for video compression. Here, one new sharpness algorithm based on gradient shape is introduced in this paper. which is used for no-reference image. The algorithm gets region of Interest in image firstly, then search the edge which can present sharpness information in selected region. It calculates edge transition zone width, then gets gray contrast in edge region, finally a probability summation algorithm model be set by these factors. This algorithm can calculate the sharpness degree of different images. A lot of experimental results show that this sharpness algorithm is effective and keep consistency with human subjective judgment. It can be used to describe the no-reference image sharpness effectively.

关键词： no-reference image image quality assessment image gradient shape image focus image sharpness algorithm

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An Error-controlled Method for Superpixel Segmentation 9

An Error-controlled Method for Superpixel Segmentation

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

作者： Meng, Nannan Meng, Fang Chen, Meng Commun Univ China Coll Informat Engn Beijing 100024 Peoples R China

ISBN: (纸本)9781509037100

Superpixel segmentation refers to represent an image by small regions composed of pixels with the similar characteristics, which can carry more perceptual and semantic meaning than their simple pixel grid counterparts. Therefore, it is very important to distribute superpixels with different size over an image for describing image details. In this paper, a new superpixel generation method based on an error-controlled strategy is put forward. At first, we use the SLIC method as a pretreatment step to obtain a preliminary segmentation image. After that, we set two thresholds to iteratively perform the region merging and mean pooling operations. One of the thresholds is used as the condition of merging in two superpixels. The other is used to control the convergence of the whole image error. According to the experimental results, our algorithm can fulfill a comparable trade-off between the number of superpixels and image details representation. In addition to the effective distribution of superpixels, our method can keep the boundary of the main object in the image.

关键词： component superpixel error-controlled SLIC image segmentation

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A single image de-hazing algorithm based on hybrid filter 9

A single image de-hazing algorithm based on hybrid filter

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

作者： Wang, Weili Chen, Youguang East China Normal Univ Coll Comp Sci & Software Engn Shanghai Peoples R China

ISBN: (纸本)9781509037100

images captured in foggy weather often suffer from bad visibility, because of bad atmospheric visibility. The existence of particles, dust and water impurities always fade the color and lead to a bad contrast of the observed objects. And then, we will feel indistinct by our eyes. We introduce a novel algorithm of single image that based on hybrid filter in this paper. The algorithm is based on an advanced median filter, and combined with average filter. The visibility of photos has been greatly improved by use of iteration. Experimental results on a variety of haze images demonstrate the effectiveness of the advanced method, which contains the fast speed of Median filter and also gets more distinct in details compared with other algorithms. The main advantage of the proposed algorithm compared with others is its speed. This speed allows visibility restoration to be applied for the first time within real-time processing applications such as sign, lane-marking and obstacle detection.

关键词： De-hazing Noise reduction Hybrid filter Color contrast image enhancement Iteration

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Brain tumor image segmentation based on convolution neural network 9

Brain tumor image segmentation based on convolution neural n...

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

作者： Lang, Ruixuan Zhao, Liya Jia, Kebin Beijing Univ Technol Beijing Lab Adv Informat Networks Beijing Peoples R China Beijing Univ Technol Coll Informat & Commun Beijing Peoples R China

ISBN: (纸本)9781509037100

Automatic segmentation and early diagnosis of brain tumor is a challenging problem in computer vision and it can provide possibility for pre-operative planning, and solve the problem such as low accurateness and time-consuming in traditional manual segmentation. Under the mentioned problems above, this paper put forward a new method: Based on traditional convolutional neural networks (CNNs), a new architecture model is proposed for automatic brain tumor segmentation, which combines multi-modality images. The newly designed CNNs model automatically learns useful features from multi-modality images to combine multi-modality information. Experiment results show that the proposed model is more accurate than traditional methods and can provide reliable information for clinic treatments.

关键词： brain tumor segmentation CNNs multi-modality tumor image

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Experimental Research on Phase Contrast Imaging using a Desktop X-ray Tube 9

Experimental Research on Phase Contrast Imaging using a Desk...

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

作者： Yan Ming Ma Ge Tang Bo Zhou Haisheng Northwest Inst Nucl Technol State Key Lab Environm Simulat & Effect Intense P Xian 710024 Shaanxi Peoples R China

ISBN: (纸本)9781509037100

X-ray phase contrast imaging ( XPCI) shows more detail and capable to produce high contrast images compared to conventional absorb contrast imaging. Not as free-space-propagation-based XPCI which needs a highly coherent and monochromatic light source such as synchrotron radiation source, several different XPCI methods are practical using desktop X-ray tube, such as micro-focus PCI, grating-based differential PCI and coded aperture-based edge illumination PCI, etc. In this paper, an experimental research on micro-focus XPCI is done with a conventional X-ray source. With a micro collimating aperture, a large focal spot X-ray tube is modified to be a micro focus light source. A fly and feather are used as imaging samples. Sample images are acquired with different energy X-ray such as 20KeV, 40KeV and 60KeV etc. Phase contrast images are compared with absorption contrast images using the same x-ray source setting. Results showed the sharpness caused by phase contrast, and more detail information of the edges inside the imaging samples. The resolution of micro-focus XPCI image reaches to about 10 micro-meters which is not easy to achieve in traditional absorption method.

关键词： phase contrast image CONTRAST X-Ray Tube X RAY SOURCES Synchrotron radiation sources images protocol control information Imaging Sharpness image samples Feathers

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Adaptive active contour model based automatic tongue image segmentation 9

Adaptive active contour model based automatic tongue image s...

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

作者： Guo, Jingwei Yang, Yikang Wu, Qingwei Su, Jionglong Ma, Fei Xian Jiaotong Liverpool Univ Math Sci Suzhou Peoples R China

ISBN: (纸本)9781509037100

For about 1800 years, tongue inspection has been one of the four major diagnostic methods in Traditional Chinese Medicine (TCM). The tongue is believed to be able to reflect the health status of the human body. However, making an accurate diagnose with the tongue is not a trivial task. It usually requires enormous training on the TCM doctor before he can make a reasonable diagnosis. Recently, image processing methods have been proposed to automatically process the tongue images and make diagnosis. This study proposes a k-means clustering and adaptive active contour model based automatic tongue region segmentation algorithm. This study is the first step towards the automatic tongue diagnosis. The method was applied on a set of real tongue images. To quantitatively evaluate the segmentation results, the automatically extracted boundaries were compared to the tongue boundaries drawn by experts. An average coverage ratio of 92% was found, indicating the accuracy of the proposed algorithm.

关键词： Diagnosis

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Automatic Printing Plate Defect Detection Based on a Simplified Homocentric Square Filter 9

Automatic Printing Plate Defect Detection Based on a Simplif...

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

作者： Zhang, Wen-Jing Xu, Fan Li, Xin-Yue Xiao, Hu Peng, Shao-Hu Nam, Hyun-Do Guangzhou Univ Sch Mech & Elect Engn Guangzhou Guangdong Peoples R China Dankook Univ Dept Elect & Elect Engn Yongin South Korea

ISBN: (纸本)9781509037100

for improving the present situation in the quality detection of plate making product line, a simplified homocentric square filter (SHSF) is proposed and implemented based on machine vision. Firstly, a hardware platform including camera, lens, light source, and encoder is designed to acquire high quality images. In order to automatically detect defects from the acquired images, the SHSF is designed according to the characteristics of the defects and their background. Furthermore, multiscale analysis is applied to detect defects of different sizes. Combining SHSF with multiscale analysis, nine kinds of defects are detected successfully. Finally, integral image technique (IIT) is applied to the filter for real-time processing. Experimental results show that the proposed method achieves a good performance in accuracy and processing speed of defect detection.

关键词： component machine vision simplified homocentric squares filter (SHSF) multiscale analysis integral image technique (IIT) defect detection

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A volumetric parameterization approach based on bounded-distortion harmonic energy 9

A volumetric parameterization approach based on bounded-dist...

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

作者： Zhang, Qi Zhao, Xiuyang Yu, Suliang School of Information Science and Engineering Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan250022 China

ISBN: (纸本)9781509037100

Volumetric parameterization is a basic and important problem for digital geometry processing and computer graphics. This paper presents a volumetric parameterization approach which is based on bounded-distortion harmonic energy. We take the tetrahedral mesh as input data and maps it to a solid sphere, in that way we can acquire a bijective simplicial map. Then we project the bijective simplicial map on the space of the bounded-distortion map, which means that we find a closet mapping that is featured with bijective and bounded-distortion. The resulting map is loss-distortion, bijective and non-flips. © 2016 IEEE.

关键词： Computer graphics

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image Encryption by Using Magic Squares 9

Image Encryption by Using Magic Squares

引用

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

作者： Zhong, Weibin Deng, Yu Hui Fang, Kai-Tai United Int Coll BNU HKBU Div Sci & Technol Zhuhai Peoples R China Georgetown Univ Dept Biostat Washington DC 20057 USA Chinese Acad Sci Inst Appl Math Beijing Peoples R China

ISBN: (纸本)9781509037100

This paper investigates image encryption by using magic squares. We propose a new magic square encryption method to which we refer as Good Lattice Point (GLP) method. Traditional magic square encryption method ([4]) focuses on disordering positions of image pixel points according to magic squares. GLP method works in the same way but gives different encryption periods and better encrypted effect than the traditional one. In addition, we also propose other new encryption methods which focus on changing values of image pixel points according to operations of magic squares such as addition and production operations. Furthermore, we develop a criteria which measures the effect of image encryption and consequently provides a way to compare different magic square encryption methods.

关键词： Cryptography

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A novel model for stock market forecasting 9

A novel model for stock market forecasting

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

作者： Li, Yanlong Wang, Fang Sun, Renbing Li, Rui College of Material Science and Engineering Ningbo University of Technology Ningbo China College of Ocean Hainan University Haikou China

ISBN: (纸本)9781509037100

To promote the forecasting performance of Fuzzy time-series models, based on complex network, a novel fuzzy time series model for stock price forecasting was pressented, this pressented model includes the concept of the complex network and weighted adaptive expectation method. By comparing the fuzzy time series model of based on complex network and weighted adaptive expectation fuzzy time series model, we conclude that the pressented model surpasses weighted adaptive expectation model in accuracy. © 2016 IEEE.

关键词： Complex networks

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