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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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A Method of Tongue image Segmentation Based on Kernel FCM 9

A Method of Tongue Image Segmentation Based on Kernel FCM

引用

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

作者： Xie, Tao Xia, Chun-Ming Chen, Fei-Fei Zhang, Sheng-Li Zhang, Yue East China Univ Sci & Technol Sch Mech & Power Engn Shanghai Peoples R China

ISBN: (纸本)9781509037100

Glossoscopy is an important part of Traditional Chinese Medicine (TCM). To analyze the tongue properties objectively, we need extract the tongue region from images. This paper presents a method to segment the tongue images based on kernel FCM (Fuzzy Cluster means). Firstly we pre-processed the tongue images by gray-level integral projection. Secondly the features were extracted to form a feature vector which contained texture, color, location and other information. Then, according to the feature vectors, pixels were clustering by kernel FCM whose parameters were decided by the proposed method. Finally, according to the pixels' neighbor connection theory, the tongue region was extracted. The results show that this method to segment tongue images is effective as its average accuracy reached upto 96.42%.

关键词： gray-level integral projection tongue segmentation features extraction KFCM

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Camera calibration and its application of binocular stereo vision based on artificial neural network 9

Camera calibration and its application of binocular stereo v...

引用

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

作者： Sun, Jin Ma, Yuzhong Yang, Han Zhu, Xinglong Yangzhou Univ Coll Mech Engn Yangzhou Jiangsu Peoples R China

ISBN: (纸本)9781509037100

The trajectory tracking system of particle motion on sieve surface was designed by the combination of the analysis of image sequences based on binocular stereo vision and three-dimensional position reconstruction based on artificial neural network. Firstly, the calibration plane with uniformly distributed solid circles was placed in multiple positions within the effective field of view. The images of the calibration plane in each position can be captured by the binocular stereo vision system. Then, after image processing, the two-dimensional coordinates of the center of the circles were used as the input sample set for training. The artificial neural network was used to establish an implicit vision model. By this model, the three-dimensional position of the materials can be acquired without any complex camera calibration operation. Lastly, experiments showed that the proposed scheme is feasible, which will provide a good basis for further research.

关键词： camera calibration binocular stereo vision artificial neural network three-dimensional position reconstruction material moving image processing

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Remote Three-Dimensional Reconstruction for Medical images Based on Browser/Server Framework 9

Remote Three-Dimensional Reconstruction for Medical Images B...

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

作者： Yin, Jun Yang, Guang Beihang Univ Sch Mech Engn & Automat Beijing Peoples R China

ISBN: (纸本)9781509037100

Remote display and interaction of 3D reconstruction of medical images has been achieved utilizing VTK (the Visualization Toolkit) and HTML5. Aiming at the problem that the network coordination of the medical 3D reconstruction platforms are generally unsatisfactory, the feasibility of achieving multi-frames-based remote interaction of 3D reconstruction of medical images using Canvas and WebSocket in HTML5 has been discussed and verified by experiments. Furthermore, a method to display 3D images on pure Web client based on B/S (Browser/Server) framework has been put forward. The 3D reconstruction system with the application of this method has been proved to be effective in displaying and interacting on both PC and mobile platform with almost real-time effects. This feasible method has certain practical application in remote medical assistance.

关键词： Web medical image 3D reconstruction medical collaboration VTK

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A Multi-view Fusion Method for image Retrieval 9

A Multi-view Fusion Method for Image Retrieval

引用

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

作者： Zhang, Yang-ping Zhang, Shi-bo Yan, Yuan-ting Anhui Univ Sch Comp Sci & Technol Hefei Peoples R China

ISBN: (纸本)9781509037100

Color histogram is an important technique for color image database indexing and retrieving. However, existing color based retrieval techniques are mainly designed for only extracting global or local feature, which cannot provide effective retrieval of images. In this paper, we propose a novel multi-view fusion method for image retrieval by combining the global color with salient regions color feature, which highlights the important characteristics of the salient regions without losing the background information. Firstly, HSV color histogram is quantified rationally as a global descriptor. Secondly, a salient region detection method is introduced to separate the salient regions and the background regions. After that, color histogram of the salient regions is applied to constitute a region-based descriptor. Finally, a CBIR system is designed by using an adaptive weighting method to combine these two descriptors. The relevant retrieval experiments on Corel-1000 show that the proposed approach brings better visual feeling than single feature retrieval, which exceeds at least 9%.

关键词： color histogram HSV salient region image retrieval

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An Efficient Restoration Algorithm for images Corrupted with Salt and Pepper Noise 9

An Efficient Restoration Algorithm for Images Corrupted with...

引用

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

作者： Xu, Guangyu Lin, Yu'e Anhui Univ Sci & Technol Sch Comp Sci & Engn Huainan 232001 Peoples R China

ISBN: (纸本)9781509037100

This paper presents a two-step restoration algorithm for impulse noise detection and removal. In the detection step, the pixel which is most likely corrupted by noise is detected according to its gray values. In the removal step, the proposed algorithm adaptively alters the filtering window size depending on the noise density. For a noisy pixel, if there exist one or more noise-free pixels in its window, the spatial correlation-based weighted mean filter will be applied to it by using only noise-free pixels. Otherwise, we use the median filter to correct the detection errors and remove noise. Naturally, the noise-free pixels are retained. Experimental results show that compared with the other filters, our algorithm can provide better performances in both quantitatively and visually.

关键词： image filtering salt and pepper noise noise detection weighted mean

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Logarithmic Profile Mapping and Retinex Edge Preserving for Restoration of Low Illumination images 9

Logarithmic Profile Mapping and Retinex Edge Preserving for ...

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

作者： Kwok, Ngaiming Shi, Haiyan Fang, Gu Lin, Ching-Feng Wong, Chin Yeow Liu, San Chi Liu, Shilong Rahman, Md Arifur Univ New South Wales Sch Mech & Mfg Engn Kensington NSW 2052 Australia Shaoxing Univ Sch Comp Sci & Technol Shaoxing 312000 Zhejiang Peoples R China Univ Western Sydney Sch Comp Engn & Math Penrith NSW 2750 Australia

ISBN: (纸本)9781509037100

Contents carried in an image are valuable information sources for many scientific and engineering applications. However, if the image is captured under low illumination conditions a large portion of the image appears dark and this heavily degrades the image quality. In order to solve this problem, a restoration algorithm is developed here that transforms the low input brightness to a higher value using a logarithmic mapping function. The mapping is further refined by a linear weighting with the input to reduce the un-necessary amplification at regions with high brightness. Moreover, fine details in the image are preserved by applying the Retinex principle to extract and then re-insert object edges. Results from experiments using low and normal illumination images have shown satisfactory performances with regard to the improvement in information contents and the mitigation of viewing artifacts.

关键词： Low illumination image restoration logarithmic profile intensity mapping Retinex edge preservation

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Optimal Local Warp Model for image Stitching 9

Optimal Local Warp Model for Image Stitching

引用

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

作者： Yuan, Tao Li, Xiaoming Taiyuan Univ Sci & Technol Dept Comp Sci & Technol Taiyuan Shanxi Peoples R China

ISBN: (纸本)9781509037100

Geometrical warp model for alignment is a key issue in image stitching. For robustness, most of the commercial tools for stitching use global parametric warps to bring image into alignment, which is suitable for ideal imaging conditions that the images to be stitched differ purely by rotation or the imaged scene is purely planar. When such conditions are violated alignment artifacts or "ghosting" will appear in the final result which leads to unconvincing visual effect. For this reason, *** et al [1] proposed a local homography based registration warp model which reduces the alignment error and improve the stitching quality greatly. But we find that this model is in general not optimal mainly due to the involved parameters is same for all positions in the stitched images. In this paper, we propose an optimal local warp model in which the parameters for computing the local warp model are location dependent. Experiment results verified that our model obtained a more accurate alignment;hence the final stitching quality is improved.

关键词： APAP image registration local distortion local geometric transform

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Strip Smoke and Cloud Recognition in Satellite image 9

Strip Smoke and Cloud Recognition in Satellite Image

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

作者： Miao, Sheng Gao, Hao Lin, Hong Dong, Liang Southwest Forestry Univ Kunming Peoples R China Chinese Acad Sci Key Lab Struct & Evolut Celestial Objects Kunming Peoples R China Chinese Acad Sci Yunnan Observ Radio Astron Res Grp Kunming Peoples R China

ISBN: (纸本)9781509037100

Forest fire detection based on the satellite image is an important method for fire warning. In the early stage of the forest fire, smoke is a key feature to detect. But both the smoke and cloud are mist shape, which has similar shape. For most smoke satellite image, The smoke is in the shape of a strip, for this feature, an method using edge detection to recognize smoke and cloud has been proposed. This algorithm detect the region covered with mist, and recognize the shape of the mist area using edge detection, to effectively recognize cloud and smoke. More than 30 images with cloud and strip smoke are used to test this method show the method can effectively detect strip smoke.

关键词： component Satellite image Strip smoke image edge detection Cloud and smoke

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image processing Technology in Broken Viscose Filament Automatic Detection System 9

Image Processing Technology in Broken Viscose Filament Autom...

引用

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

作者： Tan, Ya-Lan Hou, Qun Yu, Heng-Wei Jianghan Univ Sch Phys & Informat Engn Wuhan Peoples R China

ISBN: (纸本)9781509037100

The number of broken filament will affect the quality of viscose filament directly. It is one important quality indicator of viscose filament. This paper presents a new detection method of broken filaments based on image procession technology. The method can get lower cost and convenient usage. Firstly, by using CCD camera, we got the viscose filament images. Secondly, the images were processed in MATLAB. The numbers of white pixels (N) in the broken filaments part were calculated. Finally, the N value of images was counted and analyzed. A threshold to estimate the existence of the broken filaments was gotten. When the N is more than the threshold, we can prove these white pixels were the broken filaments. They were not caused by salt and pepper noise. In this way, we can detect the existence of broken filaments. In addition, the experiments to testify the accuracy of the threshold were done. The result shows that the method can detect the broken filament. It also turns out that the method has the potential to be used in the practical production.

关键词： Viscose filament broken filaments detection CCD camera image binarization image filtering

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Soft Computing Applications Proceedings of the 7th international Workshop Soft Computing Applications Sofa 2016

引用

2017年

作者： Valentina Emilia Balas Lakhmi C Jain Marius Mircea Balas

ISBN: (纸本)9783319625218;3319625217;9783319625249;3319625241;9783319625201

These two volumes constitute the Proceedings of the 7th international Workshop on Soft Computing Applications (SOFA 2016), held on 2426 August 2016 in Arad, Romania. This edition was organized by Aurel Vlaicu University of Arad, Romania, University of Belgrade, Serbia, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society of Control engineering and Technical informatics (SRAIT) - Arad Section, General Association of Engineers in Romania - Arad Section, and BTM Resources Arad. The soft computing concept was introduced by Lotfi Zadeh in 1991 and serves to highlight the emergence of computing methodologies in which the accent is on exploiting the tolerance for imprecision and uncertainty to achieve tractability, robustness and lower costs. Soft computing facilitates the combined use of fuzzy logic, neurocomputing, evolutionary computing and probabilistic computing, leading to the concept of hybrid intelligent systems. The rapid emergence of new tools and applications calls for a synergy of scientific and technological disciplines in order to reveal the great potential of soft computing in all domains. The conference papers included in these proceedings, published post-conference, were grouped into the following areas of research: Methods and Applications in Electrical engineering Knowledge-Based Technologies for Web Applications, Cloud Computing, Security Algorithms and Computer Networks biomedical Applications image, Text and signal processing Machine Learning and Applications Business Process Management Fuzzy Applications, Theory and Fuzzy Control Computational Intelligence in Education Soft Computing & Fuzzy Logic in Biometrics (SCFLB) Soft Computing Algorithms Applied in Economy, Industry and Communication Technology Modelling and Applications in Textiles The book helps to disseminate advances in selected active research directions in the field of soft computing, along with current issu

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