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2017 2nd International Conference on Image, Vision and Computing (ICIVC)最新文献

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A real-time object recognition for forward looking sonar 用于前视声纳的实时目标识别
2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-02 DOI: 10.1109/ICIVC.2017.7984518
Wang Wenwu, Cheng Binbin, Chen Yao
{"title":"A real-time object recognition for forward looking sonar","authors":"Wang Wenwu, Cheng Binbin, Chen Yao","doi":"10.1109/ICIVC.2017.7984518","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984518","url":null,"abstract":"Automatic target recognition is a challenging task as the response from an underwater target may vary greatly depending on its configuration, sonar parameters and the environment. In forward looking sonar image the target is considered as composed of a few rows and columns of highlight pixels and a few rows and some columns of shadow pixels. We firstly design target-like templet for object in forward looking sonar, then correlation matching method is used for targets detection with the help of the target-like templet, at last the features which are extracted from the objects are used to get rid of the false objects. The algorithm is formulated for real-time execution on limited-memory commercial-of-the-shelf platforms and is capable of detection objects on the seabed-bottom.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128194229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Classifier ensemble with relevance-based feature subset selection 基于相关性特征子集选择的分类器集成
2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984731
Junyang Zhao, Zhili Zhang, Zhenjun Chang, Dianjian Liu
{"title":"Classifier ensemble with relevance-based feature subset selection","authors":"Junyang Zhao, Zhili Zhang, Zhenjun Chang, Dianjian Liu","doi":"10.1109/ICIVC.2017.7984731","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984731","url":null,"abstract":"For classifier ensemble systems, diversity is considered as an important factor for good generalization. In this paper, a classifier ensemble algorithm with relevance-based feature subset selection for classification is proposed. Firstly, a combined maximal class relevance and minimal feature relevance criterion is presented to evaluate candidate features, and to search diverse feature subspaces for classifier ensemble. And then bootstrap sampling is implemented on the feature subspaces for diverse training sets. Finally, the classifiers are trained on diverse data subspaces selected by feature subset search method with subsequent bootstrap. The experimental results show that the algorithm achieves high classification accuracies with small feature subspaces, which lead to a compact and effective ensemble system.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115239266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study and comparison on histogram-based local image enhancement methods 基于直方图的局部图像增强方法的研究与比较
2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984567
Min Yao, Changming Zhu
{"title":"Study and comparison on histogram-based local image enhancement methods","authors":"Min Yao, Changming Zhu","doi":"10.1109/ICIVC.2017.7984567","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984567","url":null,"abstract":"Histogram-based image enhancement methods are widely used in image pre-processing, which are vital for the consequential image analysis, feature extraction and object recognition. This paper studies six adaptive methods which modify the conventional histogram equalization (HE) and further concern the local quality of the normalized images. The parameters for controlling the normalization effects are also defined and discussed. During this study, we also show the relation between these methods. Experiments are conducted to evaluate the performance of these methods and the results using various standard quantative measures are also given.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124927448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
A modified variational method for large displacement optical flow 大位移光流的改进变分法
2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984532
Jingzhe Fan, Yan Wang, Lei Guo
{"title":"A modified variational method for large displacement optical flow","authors":"Jingzhe Fan, Yan Wang, Lei Guo","doi":"10.1109/ICIVC.2017.7984532","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984532","url":null,"abstract":"We present a new way to combine the propagated flow in image pyramid and dense correspondences from descriptor matching for large displacement optical flow estimation. Because the matches and the flow propagated from the coarser level in image pyramid are possibly wrong, our method uses color-based weighted linear interpolation to reduce the wrong initial flow and alleviate over-smoothing, instead of inferring and choosing the possibly right initial value of flow. Considering the frequent violation of gradient constancy assumption and inspired by the statistic on semi-synthetic image sequences, the modified gradient term is introduced. Compared to related algorithms, the proposed approach shows competitive performance for optical flow estimation.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122474240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fast medical image segmentation based on patch sharing 基于补丁共享的医学图像快速分割
2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984573
Jinjin Hai, Jian Chen, Kai Qiao, Lei Zeng, Jingbo Xu, B. Yan
{"title":"Fast medical image segmentation based on patch sharing","authors":"Jinjin Hai, Jian Chen, Kai Qiao, Lei Zeng, Jingbo Xu, B. Yan","doi":"10.1109/ICIVC.2017.7984573","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984573","url":null,"abstract":"The lack of labeled medical data is a severe challenge of applying CNNs in medical image segmentation. The common method to solve this problem is employing patches extracted from every pixel of the entire image as train samples. But classifying every pixel in the image is time-consuming, which is not appropriate in practical medical application. This paper proposed a fast segmentation algorithm based on trained network model to reduce test time. Transforming the fully-connected layer of trained network into convolutional layer is used as the test network and the entire image is the input of test network. However, due to the convolutional and pooling operation of CNN, some pixel classification results are missed. To obtain corresponding segmentation, different size of original image are cropped as the input of test network, and interpolation is taken to supply the final image segmentation, according to the offset rule of the input images. The numerical simulation experiments indicated that the proposed algorithm show prominent performance in segmentation time and remain unchanged in the final segmentation result compared with initial train network architecture.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122914369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Design of image confusion-diffusion cryptosystem based on vector quantization and cross chaotic map 基于矢量量化和交叉混沌映射的图像混淆扩散密码系统设计
2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984634
Bing Yan, Sen Bai
{"title":"Design of image confusion-diffusion cryptosystem based on vector quantization and cross chaotic map","authors":"Bing Yan, Sen Bai","doi":"10.1109/ICIVC.2017.7984634","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984634","url":null,"abstract":"With the rapid growth of image transmission over the public networks, image compression and encryption has received increasing attention to reduce the redundancy and ensure security. In this paper, a scheme of image compression and encryption based on vector quantization (VQ) and cross chaotic map has been proposed that simultaneously compresses and encrypts the image based on confusion-diffusion cryptosystem. Extensive security analysis has been performed on the proposed scheme by using key space analysis, key sensitivity analysis, statistical analysis and differential analysis. Results of our analysis show that the proposed scheme has high security, significant savings in computation and good compression performance.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114125823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Local variance image-based for scene text binarization under illumination effects 光照条件下基于局部方差图像的场景文本二值化
2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984664
Kittipop Peuwnuan, K. Woraratpanya, Kitsuchart Pasupa, Y. Kuroki
{"title":"Local variance image-based for scene text binarization under illumination effects","authors":"Kittipop Peuwnuan, K. Woraratpanya, Kitsuchart Pasupa, Y. Kuroki","doi":"10.1109/ICIVC.2017.7984664","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984664","url":null,"abstract":"Illumination effects, especially shadow and lighting condition, are grand challenges for scene-text localization. With these effects, text localization faces a difficult task to discriminate text regions from a nature scene due to edge and detail of characters affected by surrounding environments. To improve effectiveness of the scene-text localization, this paper proposes a local variance image technique to enhance character's edge for easily segmenting the scene text from the back-ground under illumination effects. In this method, the local variance image plays an important role in indicating how high complexity is in each local area. Then the proposed adaptive kernel size thresholding method is applied to such a local variance image to segment the scene text from the background. When the proposed method is tested with a Thai text dataset, the experimental results show the scene-text binarization is better than those of the state-of-the-art methods.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114437296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Amplitude and phase correction of the phased array antenna by REV algorithm 用REV算法进行相控阵天线的幅相校正
2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984687
Zhang Lu, Du Hailong
{"title":"Amplitude and phase correction of the phased array antenna by REV algorithm","authors":"Zhang Lu, Du Hailong","doi":"10.1109/ICIVC.2017.7984687","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984687","url":null,"abstract":"The REV algorithm for correcting the initial amplitude and phase error of the phased array antenna based on Fourier analysis is introduced, and its engineering realization method is given. In the given method, the correction antenna is far away from the phased array antenna, which is different from traditional REV method, in order to reduce the interference of the correction antenna to the communication signals. Through the actual test, the correction and monitoring functions are proofed to be effective.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"456 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117007401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Medical X-ray image enhancement method based on TV-homomorphic filter 基于电视同态滤波器的医用x射线图像增强方法
2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984568
Wang Rui, W. Guoyu
{"title":"Medical X-ray image enhancement method based on TV-homomorphic filter","authors":"Wang Rui, W. Guoyu","doi":"10.1109/ICIVC.2017.7984568","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984568","url":null,"abstract":"X-ray image contains a large amount of information and became important basis in the process of medical diagnosis. The X-ray image has large gray dynamic range but low contrast. This paper proposed a new kind of homomorphic filter which uses total variation model as the transfer function. it has a good balance in both brightness adjustment and details enhancement. And the comparison results were given, the experimental results show that the method can effectively increase the image contrast, highlight the details.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129765792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
Proposal and application of hybrid SLM-PTS method in 8QAM-OFDM optical access system for reducing PAPR influence 8QAM-OFDM光接入系统中减小PAPR影响的混合SLM-PTS方法的提出及应用
2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-01 DOI: 10.1109/ICIVC.2017.7984688
Changxiang Li, Yufeng Shao, Zhifeng Wang, Yue Zhou, Junyi Zhou, Wenzhe Ma, Jianjun Wang
{"title":"Proposal and application of hybrid SLM-PTS method in 8QAM-OFDM optical access system for reducing PAPR influence","authors":"Changxiang Li, Yufeng Shao, Zhifeng Wang, Yue Zhou, Junyi Zhou, Wenzhe Ma, Jianjun Wang","doi":"10.1109/ICIVC.2017.7984688","DOIUrl":"https://doi.org/10.1109/ICIVC.2017.7984688","url":null,"abstract":"In this letter, a novel hybrid SLM-PTS algorithm for reducing peak-to-average power ratio (PAPR) influence, is proposed and analyzed in an 10Gbit/s 8QAM-OFDM optical access system. After the serial-to-parallel conversion, transmitted signals are divided into two data subblocks, and one subblock is processed by SLM method and the other is processed by PTS. And then the processed data subblocks are merged into one transmission sequence. In 10Gbit/s optical access systems, through comparing PAPR, bit error rate (BER) and computational complexity, SLM, PTS and hybrid SLM-PTS methods show their respective advantages. The results show that the hybrid SLM-PTS algorithm can provide a possible compromise for PAPR reduction. The proposed hybrid algorithm exhibits lower computational complexity when the used subcarriers number is smaller. Compared with traditional PTS and SLM methods, using the proposed method the value of BER is the lowest under the certain signal to noise ratio (SNR) condition.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128372961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
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