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2010 International Conference on Image Analysis and Signal Processing最新文献

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A curvature constraint Exemplar-based image inpainting 一种基于曲率约束范例的图像绘制方法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476116
Yongbo Qin, Feng Wang
{"title":"A curvature constraint Exemplar-based image inpainting","authors":"Yongbo Qin, Feng Wang","doi":"10.1109/IASP.2010.5476116","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476116","url":null,"abstract":"Digital image inpainting belongs to image recovery field, which is to fill the region where information is missing or to replace the missing region with different information. In this article, we mainly study the Exemplar-based method, which was proposed by Criminisi. The Exemplar-based method is to choose appropriate exemplar patches from a known image or the known region of the image waiting to be processed to fill the damaged region. By using Exemplar-based image inpainting method, we maintain the structure information by defining the priority for each unknown pixel and then complete pixels according to each pixel's priority. In this article, we try to improve the Exemplar-based method aiming at undistinguished priority values and failure in inpainting regions which contain linear structure with significant changes in curvature. Meanwhile, we reasonably optimize the strategy for finding the most similar exemplar from the known region. As a result, our method acquires more reasonable results for some images with both structure and texture missing regions.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121438652","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: 13
Structured Local Edge Pattern Moment for pedestrian detection 用于行人检测的结构化局部边缘矩
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476054
Songzhi Su, Shu-Yuan Chen, Shao-Zi Li, D. Duh
{"title":"Structured Local Edge Pattern Moment for pedestrian detection","authors":"Songzhi Su, Shu-Yuan Chen, Shao-Zi Li, D. Duh","doi":"10.1109/IASP.2010.5476054","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476054","url":null,"abstract":"Local feature based approaches have gotten great success in object detection and recognition in recent years. In this paper, a novel local based feature, Structured Local Edge Pattern Moment (SLEPm), is proposed for pedestrian detection in the sliding window framework. SLEPm encodes not only the statistical information but also the structure and spatial information of object for pedestrian detection. Linear Support Vector Machine (SVM) is used as a binary classifier to determine whether a sub-window contains pedestrian. Experimental results in INRIA pedestrian database show that performance of SLEPm is better than that of Histogram of Oriented Gradient (HOG).","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127619519","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
An image segmentation method based on Type-2 fuzzy Gaussian Mixture Models 基于二类模糊高斯混合模型的图像分割方法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476097
Xu Kai, Wu Fangfang, Qin Kun
{"title":"An image segmentation method based on Type-2 fuzzy Gaussian Mixture Models","authors":"Xu Kai, Wu Fangfang, Qin Kun","doi":"10.1109/IASP.2010.5476097","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476097","url":null,"abstract":"This paper proposes a new image segmentation method based on Type-2 fuzzy Gaussian Mixture Models (T2 FGMMs). First, the core-region and the open-region of image are extracted according to spatial information of pixels. Then, the GMMs parameters are estimated by EM algorithm. The interval in which T2 FGMMs parameters vary is constrained by the GMMs parameters of the core-region and the open-region of image. Finally, Bayesian decision is used to realize image segmentation. In the end, the method is compared with image segmentation using Otsu's method, FCM and GMM. Experiments demonstrate the effectiveness of this method.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127448364","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
Research on three image difference algorithm 三种图像差异算法研究
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476194
Baofeng Zhang, Jie Zhou, Junchao Zhu
{"title":"Research on three image difference algorithm","authors":"Baofeng Zhang, Jie Zhou, Junchao Zhu","doi":"10.1109/IASP.2010.5476194","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476194","url":null,"abstract":"The method of frame difference is a commonly used way for moving targets detection because it is simple to compute and easy to realize, but it has defects. The moving object captured will present a “double image” phenomenon, so it is difficult to extract goal accurately. This article proposes three image difference algorithm to capture moving target, which, with statistics and curve fitting method, confirmed its rationality and validity. It also simultaneously avoided “double image” phenomenon. The experiments show that it is practical and effective.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129131252","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
Horizon detection in foggy aerial image 雾天航拍图像中的地平线检测
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476135
Hong Yuan, Xiuting Zhang, Zihua Feng
{"title":"Horizon detection in foggy aerial image","authors":"Hong Yuan, Xiuting Zhang, Zihua Feng","doi":"10.1109/IASP.2010.5476135","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476135","url":null,"abstract":"Vision-based automatically landing is important for micro Unmanned Aerial Vehicles (UAVs). Horizon is a very useful clue. Most of the existing solutions for the problem can get accurate results in clear weather. However, for some images shoot in extreme environmental conditions like foggy or cloudy sky these methods are difficult in identifying the horizon correctly. In this paper, we propose a robust, vision-based horizon detection algorithm fit for this condition. The algorithm we put forward is based on a dark channel prior, which describes the depth of haze naturally. The horizon can be easily determined in dark channel property space. We then verify our vision-based horizon detection algorithm with real flying data. The results indicate that the algorithm is robust to heavy foggy weather conditions. This algorithm can also be useful in synthetic vision system.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129164968","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: 31
Automatic detection of vocal folds from high-speed imaging 从高速成像中自动检测声带
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476133
Xiaoping Wang, Xiaojian Yu, Yu Zhang, Xiaomei Xu
{"title":"Automatic detection of vocal folds from high-speed imaging","authors":"Xiaoping Wang, Xiaojian Yu, Yu Zhang, Xiaomei Xu","doi":"10.1109/IASP.2010.5476133","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476133","url":null,"abstract":"An automatic image processing method is proposed to extract vocal fold vibrations from high-speed digital imaging. Extracted regular vocal fold vibrations contribute to periodic voices, and irregular vocal fold vibrations contribute to aperiodic voices. The effects of image resolutions are investigated. This study combines the features of both image and voice signal processing and provides a valuable automatic image processing technique for the measurement and quantification of voice productions from high-speed imaging.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133730142","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
A salt & pepper noise fast filtering algorithm for grayscale images based on neighborhood correlation detection 基于邻域相关检测的灰度图像椒盐噪声快速滤波算法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476154
Bosi Fu, Kecheng Yang, Wei Li, Fan Fan
{"title":"A salt & pepper noise fast filtering algorithm for grayscale images based on neighborhood correlation detection","authors":"Bosi Fu, Kecheng Yang, Wei Li, Fan Fan","doi":"10.1109/IASP.2010.5476154","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476154","url":null,"abstract":"A salt & pepper noise fast filtering algorithm for grayscale images based on neighborhood correlation detection is presented. By utilizing a 4×4 pixel template, the algorithm can discriminate and filter various patterns of salt & pepper noise spots or blocks within 2×2 pixel size range. In contrast with many kinds of median filtering algorithm, which may cause image blurring, it has much higher edge-preserving ability. Furthermore, this algorithm is able to synchronously reflect image quality via amount, location and density statistics of salt & pepper noise spots and make good sense to guide parameter selection for imaging systems.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132881235","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: 3
An improved region-growth algorithm for disparity estimation 一种改进的视差估计区域增长算法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476087
Xianbiao Dai, Liang Wang, P. Cui
{"title":"An improved region-growth algorithm for disparity estimation","authors":"Xianbiao Dai, Liang Wang, P. Cui","doi":"10.1109/IASP.2010.5476087","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476087","url":null,"abstract":"In this paper, we present a simple and efficient disparity estimation method based on region-growth techniques, which can obtain the more accurate disparity map from two color or gray images with an acceptable speed and computationnal cost. The proposed method includes two steps: the selection of the seed points and propagation. Instead of propagating after getting all seed points, the proposed method begins to propagate as soon as one point is gotten. This makes the algorithm more efficient. In the propagation step, a line-growth method is adopted since disparity of the stereo image is only in the row directions. Experiments with test and real stereo image pairs show the validity of the proposed method.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114067716","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
Study on feature extraction of high speed precision electric machine vibration signal 高速精密电机振动信号特征提取研究
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476075
Qing-jie Liu, Xiao-fang Liu, Gui-ming Chen
{"title":"Study on feature extraction of high speed precision electric machine vibration signal","authors":"Qing-jie Liu, Xiao-fang Liu, Gui-ming Chen","doi":"10.1109/IASP.2010.5476075","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476075","url":null,"abstract":"Vibration signals usually contain running condition and fault information of rolling mechanical equipment. In the paper, firstly, a vibration test scheme of high speed precision electric machine is designed; time domain average method is used to filter the periodic noise and random noise of the sampling vibration signals. The result shows that the signal to noise ratio is increased. Then the de-nosing vibration signal is decomposed by means of wavelet packet and the reconstructed signal energy of every frequency segment is calculated. The study identifies that the reconstructed signal of every frequency segment contains corresponding frequency, and the energy can be used as the vibration signals' eigenvector to estimate the running state of the electric machine.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114509383","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
Images based human volumetric model reconstruction and animation 基于图像的人体体模型重建与动画
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476128
Dianyong Zhang, Z. Miao, M. Wang
{"title":"Images based human volumetric model reconstruction and animation","authors":"Dianyong Zhang, Z. Miao, M. Wang","doi":"10.1109/IASP.2010.5476128","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476128","url":null,"abstract":"In this paper, we present an approach for human model reconstruction from a set of pictures. We take a set of pictures around the medical human model using a digital camera. Through calibration, we obtain the intrinsic parameters and extrinsic parameters, and compute the projective matrix of each image. After pre-processing the images, we reconstruct the human model from images according to the shape from silhouettes, using marching cubes algorithm to get the mesh model. We the smoothed and simplified mesh model. Finally, we rig the skeleton to the mesh automatically and drive it using motion capture data.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127115966","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
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