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2009 International Conference on Digital Image Processing最新文献

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Detection and Quantification of Bacilli and Clusters Present in Sputum Smear Samples: A Novel Algorithm for Pulmonary Tuberculosis Diagnosis 痰涂片样本中杆菌和簇的检测和定量:一种诊断肺结核的新算法
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.59
M. Sotaquirá, L. Rueda-Delgado, Remberth Narvaez
{"title":"Detection and Quantification of Bacilli and Clusters Present in Sputum Smear Samples: A Novel Algorithm for Pulmonary Tuberculosis Diagnosis","authors":"M. Sotaquirá, L. Rueda-Delgado, Remberth Narvaez","doi":"10.1109/ICDIP.2009.59","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.59","url":null,"abstract":"This paper describes an automatic technique for the segmentation, detection and quantification of bacilli and clusters present in a digital image of sputum smear samples prepared with the Ziehl-Neelsen technique. Algorithms for color space segmentation, quantification and automatic diagnosis are described. Different color spaces (RGB, HSV,YIQ, YCbCr, Lab) were considered in order to develop and algorithm both efficient (in terms of bacilli and cluster segmentation) and robust against noise and varying illumination conditions in the image. The combination of YCbCr and Lab color spaces offered the best results, with a sensitivity of 90.9% and a specificity of 100%, which represents an improvement when compared with previous works. The accuracy of the algorithm was also measured, and results show that in 85.7% of the cases the algorithm provides a correct diagnosis in terms of infection level.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"44 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":"115874587","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: 44
An Efficient Mode Selection Algorithm for H.264 Encoder for Application in Low Computational Power Devices 一种适用于低计算功率设备的H.264编码器高效模式选择算法
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.75
B. Ashwani, Devesh Kandpal, Mayank Srivastava, A. Shukla
{"title":"An Efficient Mode Selection Algorithm for H.264 Encoder for Application in Low Computational Power Devices","authors":"B. Ashwani, Devesh Kandpal, Mayank Srivastava, A. Shukla","doi":"10.1109/ICDIP.2009.75","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.75","url":null,"abstract":"H.264/AVC, the latest video coding standard, outperforms the other standards by maximizing the video quality and minimizing the bit rate. To achieve better coding efficiency, H.264/AVC uses several techniques such as inter mode and intra mode prediction with variable size motion compensation, which adopts Rate Distortion Optimization RDO). This increases the computational complexity of the encoder especially for devices with lower processing capabilities such as mobile and other handheld devices. In this paper, we propose an algorithm to reduce the number of mode and sub mode evaluations in inter mode prediction. Experimental results show that this fast intra mode selection algorithm can lessen about 72% encoding time with little loss of bitrate and visual quality.","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":"123221150","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
Contrast Enhancement of Retinal Vasculature in Digital Fundus Image 数字眼底图像中视网膜血管系统的对比度增强
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.32
A. Hani, H. A. Nugroho, H. Nugroho, L. I. Izhar
{"title":"Contrast Enhancement of Retinal Vasculature in Digital Fundus Image","authors":"A. Hani, H. A. Nugroho, H. Nugroho, L. I. Izhar","doi":"10.1109/ICDIP.2009.32","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.32","url":null,"abstract":"Analyzing retinal fundus image is important for early detection of diseases related to the eye. However, in fundus images the contrast between retinal blood vessels and the background is very low. Hence, analyzing or visualizing tiny blood vessels is difficult. Fluorescein angiogram overcomes this imaging problem but it is an invasive procedure that leads to other physiological problems. In this work, we enhance the low contrast of retinal vasculature in the ocular fundus image by determining the retinal pigments makeup, namely haemoglobin, melanin and macular pigment using independent component analysis. Independent component image due to haemoglobin pigment obtained exhibits higher contrast retinal vasculature. Even though the fundus fluorescein angiograph method produces higher contrast images, results show that this approach outperforms other noninvasive enhancement method, such as contrast limited adaptive histogram equalization and can be beneficial for vessel segmentation. Contrast enhancement factor of 3.2 for digital retinal images is achieved. This improvement in contrast reduces the need of applying contrasting agent on patients.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"70 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":"125261915","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: 15
Model-Based Book Dewarping Method for Content-Independent Document Images 基于模型的内容无关文档图像图书去翘曲方法
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.69
Dumrong Sutapirat, Kingkarn Sookhanaphibarn, C. Lursinsap
{"title":"Model-Based Book Dewarping Method for Content-Independent Document Images","authors":"Dumrong Sutapirat, Kingkarn Sookhanaphibarn, C. Lursinsap","doi":"10.1109/ICDIP.2009.69","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.69","url":null,"abstract":"This paper proposes a novel dewarping technique for document images based on digital cameras, from which images are warped on the curve surface of the book bound volume. Our technique transforms pixels in the curve coordinate system into the planar coordinate system. In the experiments,the test document images composed various font styles and size sprinted in common text books. The validity of our methods compares with the program's curvature correction of Abby FineReader Professional 9.0. Our technique outperforms the other up to 49 percent for word and character precisions. Nevertheless, our technique is independent on document contents, page layout, and font styles. The concept of our approach is based on dewarping the whole document pages by using the function obtained from experiments.","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":"128282385","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 by Thinning Method 基于稀疏化方法的手势识别
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.73
Rajeshree S. Rokade, D. Doye, M. Kokare
{"title":"Hand Gesture Recognition by Thinning Method","authors":"Rajeshree S. Rokade, D. Doye, M. Kokare","doi":"10.1109/ICDIP.2009.73","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.73","url":null,"abstract":"Sign language is the most natural and expressive way for the hearing impaired. Its most appealing application is the development of more effective and friendly interfaces for human-machine interaction. Gestures are a natural and powerful way of communication. A hand gesture recognition system can provide an opportunity for a mute person to communicate with normal people without the need of an interpreter. In this paper we proposed a novel technology for hand gesture recognition which is based on thinning of segmented image.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"79 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":"131305216","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: 59
Digital Watetmarking Algorithm Using Two Dimensions Modulated Complex Lapped Transform 基于二维调制复叠变换的数字水印算法
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.23
Y. Zhang, H. Shu
{"title":"Digital Watetmarking Algorithm Using Two Dimensions Modulated Complex Lapped Transform","authors":"Y. Zhang, H. Shu","doi":"10.1109/ICDIP.2009.23","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.23","url":null,"abstract":"Modulated complex lapped transform (MCLT) can reduce the artifacts brought by the block DCT. However, nearly all of these methods are mainly used for 1D signal. This paper defines 2D MCLT form and applies it in the field of watermarking. Experimental results show that the new method has better tradeoff between visual quality and robustness than some existing methods.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"51 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":"116008683","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
Image Segmentation Using Correlative Histogram Modeled by Gaussian Mixture 高斯混合相关直方图的图像分割
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.94
A. Harimi, A. Ahmadyfard
{"title":"Image Segmentation Using Correlative Histogram Modeled by Gaussian Mixture","authors":"A. Harimi, A. Ahmadyfard","doi":"10.1109/ICDIP.2009.94","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.94","url":null,"abstract":"In this paper we address the problem of gray image segmentation. Our approach falls in category of histogram based thresholding methods. From image we first construct a correclative histogram, based on intensity of image pixels and the average intensity of pixel neighbourhood. The proposed histogram is more informative than common intensity histogram for segmentation. Then we model the obtained histogram using a mixture of Gaussian functions. We estimate the parameters for Gaussian mixtures using Particle Swarm Optimization algorithm. The result of segmentation confirms that the proposed method outperforms existing thresholding methods.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"26 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":"121286355","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
Automatic Obtaining of Left Ventricular Area and Analyzing the Area Changes 左心室面积自动获取及面积变化分析
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.13
A. HajiRassouliha, A. Ayatollahi
{"title":"Automatic Obtaining of Left Ventricular Area and Analyzing the Area Changes","authors":"A. HajiRassouliha, A. Ayatollahi","doi":"10.1109/ICDIP.2009.13","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.13","url":null,"abstract":"We proposed a new method for computer based estimation of changes in left ventricular area in series of full short-axis MRI data to obtain the graph of area changes and analyzing the graph. At the first step cardiac region is found in full short-axis cardiac MRI data. Finding the cardiac region in full short-axis images for the next step we could segment left ventricular cavity and then finding the area of left ventricular. Our new method results in a very good determination of left ventricular cavity. Also the graph of area changes of left ventricular in short-axis MRI data leads us to a very good analytic tool for interpretation of heart problems and analyzing the left ventricular states. In addition to preciseness, our new method in all of the processing steps is based on fast calculations and is fully automatic.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"67 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":"116307365","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
Connected Numeral Strings Segmentation Based on the Combination of Characteristic Position and Contour Detecting 基于特征位置和轮廓检测相结合的连通数字字符串分割
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.43
Tian Zhang, Xichang Wang, Changhua Chen, Jiang Liu
{"title":"Connected Numeral Strings Segmentation Based on the Combination of Characteristic Position and Contour Detecting","authors":"Tian Zhang, Xichang Wang, Changhua Chen, Jiang Liu","doi":"10.1109/ICDIP.2009.43","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.43","url":null,"abstract":"Segmentation of Connected numeral strings plays an important role in number recognition systems. A new method to segment two connected numeral strings is proposed in the article, we define characteristic position first, using it the graph-representation of the image is derived, based on this and using contour detecting we attain the candidate segmentation position pairs used for determining the segmentation path, then a criterion is applied to choose the best segmentation from the candidates. Finally, an experiment is conducted. The results reveal that the method proposed has high speed and good result.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"154 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":"127306280","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
Steel Surface Defect Detection Using Texture Segmentation Based on Multifractal Dimension 基于多重分形维数纹理分割的钢材表面缺陷检测
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.68
M. Yazdchi, M. Yazdi, A. Mahyari
{"title":"Steel Surface Defect Detection Using Texture Segmentation Based on Multifractal Dimension","authors":"M. Yazdchi, M. Yazdi, A. Mahyari","doi":"10.1109/ICDIP.2009.68","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.68","url":null,"abstract":"Recently, it becomes significant to enhance quality of products as well as to increase quantity of products in the steel manufacturing industry. As a manufacturing gets faster, the fast and exact detection of defect is important to acquire a competitive power. Without automatic machine vision technology, steel rolling operations is not able to perform real-time inline surface defect inspection. In this paper, we propose a new defect detection algorithm based on multifractal. Then, some suitable features are extracted and presented to neural network for classification. The obtained accuracy is % 97.9.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"10 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":"133577794","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: 47
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