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2009 International Conference on Digital Image Processing最新文献

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Polar Run-Length Features in Segmentation of Retinal Blood Vessels 视网膜血管分割的极坐标流长特征
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.18
S. H. Rezatofighi, A. Roodaki, A. Pourmorteza, Joseph Y. H. So
{"title":"Polar Run-Length Features in Segmentation of Retinal Blood Vessels","authors":"S. H. Rezatofighi, A. Roodaki, A. Pourmorteza, Joseph Y. H. So","doi":"10.1109/ICDIP.2009.18","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.18","url":null,"abstract":"Manual segmentation of retinal blood vessels in optic fundus images is a tiresome task. Several methods have previously been proposed for the automatic segmentation of retinal blood vessels. In this paper we propose a classifier-based method. First the images are preprocessed so that the within class variability of the vessel and background classes are minimized. Next, the image is scanned with a window of a certain size. Polar run-length matrices are simply created by transforming the windows into polar coordinates and then constructing conventional run length matrices. Two features are then extracted for each gray level value in the polar run length matrix. The feature vectors are then classified using a multilayer perceptron artificial neural network. The performance of the proposed method is compared with that of the human observers and with those methods previously reported in literature.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115145832","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
The Skew Correcting Method for Two Dimension Bar Code Based on Least Square Methods 基于最小二乘法的二维条码偏斜校正方法
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.45
Bo Chen, Zhi Liu, Xiaohui Xu
{"title":"The Skew Correcting Method for Two Dimension Bar Code Based on Least Square Methods","authors":"Bo Chen, Zhi Liu, Xiaohui Xu","doi":"10.1109/ICDIP.2009.45","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.45","url":null,"abstract":"In general, the scanned image of two dimension barcode is usually skew. In order to recognize two dimension barcode correctly, the skew angle of two dimension barcode must be detected and corrected firstly. In this paper, the edge profile of two dimension barcode is extracted and the feature points are saved at first. Then the Least Square Methods is used to synthesize these features points to a straight line in order to get the skew angle and correct them. Experimental results show that this algorithm is fast and strong anti-noise. The identification and recognition rate for the two-dimension barcode is increased effectively.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"1015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123325909","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
CT Image Retrieval Using Tree Structured Cosine Modulated Wavelet Transform 基于树结构余弦调制小波变换的CT图像检索
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.63
M. Kokare
{"title":"CT Image Retrieval Using Tree Structured Cosine Modulated Wavelet Transform","authors":"M. Kokare","doi":"10.1109/ICDIP.2009.63","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.63","url":null,"abstract":"Developing methods for medical image characterization and indexing are in great demand for organizing and retrieving images from huge medical image databases. In this paper, novel algorithm based on tree structured cosine modulated wavelet transform (TSCMWT) for retrieval of Computer Tomography (CT) images is proposed. The proposed method performs better than existing available methods. Experimental results are promising in order to meet the requirements of the fast-paced clinical environment.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128480336","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
Regression Diagnostics for Multiple Model Step Data 多模型步进数据的回归诊断
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.71
A. Nurunnabi, M. Nasser
{"title":"Regression Diagnostics for Multiple Model Step Data","authors":"A. Nurunnabi, M. Nasser","doi":"10.1109/ICDIP.2009.71","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.71","url":null,"abstract":"In many vision and image problems there are multiple structures in a single data set and we need to identify the multiple models. To preserve most structures in presence of noise makes the estimation difficult. In such case for each structure, data which belong to other structures are also outliers in addition to the outliers for all the structures. Robust regression techniques are commonly used to serve the model building process for noisy data to the vision community, that fits the majority data and then to discover outliers, they tend to fail to cope with the situation. In this paper we show a newly proposed regression diagnostic measure is capable for identifying large fraction of outliers, and regression diagnostics may be a better choice to the robust regression. We demonstrate the whole thing through several artificial multiple model step data.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126845150","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
Detection of Weft Knitting Fabric Defects Based on Windowed Texture Information And Threshold Segmentation by CNN 基于窗口纹理信息和CNN阈值分割的纬编织物疵点检测
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.33
Yao Sun, H. Long
{"title":"Detection of Weft Knitting Fabric Defects Based on Windowed Texture Information And Threshold Segmentation by CNN","authors":"Yao Sun, H. Long","doi":"10.1109/ICDIP.2009.33","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.33","url":null,"abstract":"Methods for detecting weft knitting fabric defects are studied in this article. A new method to analyze the texture information on the fabric image with multi-window for enhancing the defects feature is introduced. The feature information of defect is segmented by Cellular Neural Network and three terms of variables are defined to represent the feature. Using interlock fabric with the defects of hole, course mark, dropped stitch and fly as experiment materials, the experiment proved the acquired feature information involved adequate information of defects with less effect of noise and the result of classification by Artificial Neural Network was well performed.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132694905","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
Decision Level Fusion of Colour Histogram Based Classifiers for Clustering of Mouth Area Images 基于颜色直方图的决策级融合嘴巴区域图像聚类
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.80
Fahimeh Salimi, M. Sadeghi
{"title":"Decision Level Fusion of Colour Histogram Based Classifiers for Clustering of Mouth Area Images","authors":"Fahimeh Salimi, M. Sadeghi","doi":"10.1109/ICDIP.2009.80","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.80","url":null,"abstract":"It is well known that in many situations combining diverse classifiers can improve the performance of a classification system. In this paper, a new histogram based lip segmentation technique is proposed considering local kernel histograms in different illumination invariant colour spaces. The histogram is computed in local areas using two Gaussian kernels; one in the colour space and the other in the spatial domain. Using the estimated histogram, the posterior probability associated to non-lip class is then computed for each pixel. This process is performed considering different colour spaces. A weighted averaging method is then used for fusing the posterior probability values. As the result a new score is obtained which is used for labeling the pixels as lip or non-lip. The advantage of the proposed method is that the segmentation process is totally unsupervised. So, the method is robust against different variations such as variation in lip shape, skin colour, facial hair, illumination, etc. Moreover, an improved performance is achieved by fusing colour information.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115892316","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
Hand Gesture Recognition Using Object Based Key Frame Selection 基于对象的关键帧选择的手势识别
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.74
Ulka S. Rokade, D. Doye, M. Kokare
{"title":"Hand Gesture Recognition Using Object Based Key Frame Selection","authors":"Ulka S. Rokade, D. Doye, M. Kokare","doi":"10.1109/ICDIP.2009.74","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.74","url":null,"abstract":"The sign language recognition is the most popular research area involving computer vision, pattern recognition and image processing. It enhances communication capabilities of the mute person. In this paper, we present an object based key frame selection. Hausdorff distance and Euclidean distance are used for shape similarity for hand gesture recognition. We proposed the use of nonlinear time alignment model with key frame selection facility and gesture trajectory features for hand gesture recognition. Experimental results demonstrate the effectiveness of our proposed scheme for recognizing American Sign Language.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124357710","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: 18
Analysis and Representation of Character Images for Extracting Shape based Features Towards Building an OCR for Bangla Script 基于形状特征提取的字符图像分析与表示——面向孟加拉文字OCR的构建
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.57
M. A. Naser, A. Hasnat, T. Latif, S. Nizamuddin, T. Islam
{"title":"Analysis and Representation of Character Images for Extracting Shape based Features Towards Building an OCR for Bangla Script","authors":"M. A. Naser, A. Hasnat, T. Latif, S. Nizamuddin, T. Islam","doi":"10.1109/ICDIP.2009.57","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.57","url":null,"abstract":"In this paper we present the analysis of different representation techniques of the character images for extracting shape based features using modified signature method. An adaptive normalization is proposed that retains the aspect ratio of the character which is subjected to the fact that preservation of aspect ratio enhances the recognition process. Signature is generated from direction angle of the pixels where the pixels were taken from boundary, difference and skeletonized image of the character. Correlation among the extracted features for 13 different fonts of all 50 characters is analyzed. We measured the recognition performance of different representation approaches.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"493 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127025548","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
Real-Time Visualization of Virtual Huge Texture 虚拟巨大纹理的实时可视化
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.28
Zeyu Li, Hui Li, Anxiang Zeng, Lian Wang, Yongwen Wang
{"title":"Real-Time Visualization of Virtual Huge Texture","authors":"Zeyu Li, Hui Li, Anxiang Zeng, Lian Wang, Yongwen Wang","doi":"10.1109/ICDIP.2009.28","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.28","url":null,"abstract":"Huge texture is an important component in many civil and military simulations. These textures are often too large to fit into video memory, even system memory, causing a bottleneck. In this paper, we present an efficient large texture management technique which is inspired by clip map[11]. The clipmap algorithm caches a subset of the texture mipmap pyramid in video memory and updates incrementally based on toroidal mapping. To date, it is not supported on most GPU. We provide an approach to implement it on the latest generation of commodity GPUs using programmable shaders, and has some supplement or improvement in data organization, rendering quality, efficiency, etc. The experiment shows the high efficient and high quality of this algorithm by visualizing a 2^16×2^15 virtual texture.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130681316","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 Direct3D-Based Multi-model E-Learning System for Chinese Sign Language 基于direct3d的多模型汉语手语电子学习系统
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.10
Juan Liu, Yiqiang Chen, Qingcong Yan, Junfa Liu
{"title":"A Direct3D-Based Multi-model E-Learning System for Chinese Sign Language","authors":"Juan Liu, Yiqiang Chen, Qingcong Yan, Junfa Liu","doi":"10.1109/ICDIP.2009.10","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.10","url":null,"abstract":"This paper describes a Direct3D-based multi-model e-learning system for Chinese sign language (CSL), which we design for both hearing-impaired people and hearing people to learn standard CSL. This system includes two key techniques: 3D human model animation and gesture motion retargeting. A novel virtual human animation approach is proposed to realize high-quality and realistic 3D human model animation. This approach utilizes skinned mesh technique based on Direct3D and the effect of 3D human model animation shows that the approach we proposed have good performance and can successfully solve the serration problem which is a definite flaw of traditional CSL. In addition, a constraint-based Inverse Kinematics (IK) algorithm for gesture motion retargeting is also presented in this paper. As there are multiple models in our system, the proposed algorithm is aimed to retarget the sign language data captured by motion capture device to different 3D human models with different sizes and proportions. Experimental results prove that it can greatly improve the exactness of sign language.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125427998","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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