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2010 IEEE International Conference on Image Processing最新文献

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Improved road crack detection based on one-class Parzen density estimation and entropy reduction 基于一类Parzen密度估计和熵约简的改进道路裂纹检测方法
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5653305
Henrique Oliveira, J. Caeiro, P. Correia
{"title":"Improved road crack detection based on one-class Parzen density estimation and entropy reduction","authors":"Henrique Oliveira, J. Caeiro, P. Correia","doi":"10.1109/ICIP.2010.5653305","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5653305","url":null,"abstract":"A novel unsupervised strategy to detect cracks on flexible road pavement images, acquired by laser imaging systems, is proposed. It explores the UINTA entropy reduction filter in an innovative way.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122753322","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: 14
Low complexity lossless image compression using efficient context modeling 使用高效上下文建模的低复杂度无损图像压缩
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651124
Sungbum Park, Jung-Woo Kim, Dai-Woong Choi, Jae-Won Yoon, Jae-Hyun Kim
{"title":"Low complexity lossless image compression using efficient context modeling","authors":"Sungbum Park, Jung-Woo Kim, Dai-Woong Choi, Jae-Won Yoon, Jae-Hyun Kim","doi":"10.1109/ICIP.2010.5651124","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5651124","url":null,"abstract":"A novel context modeling scheme is presented for lossless image compression. First, each line in the input image is divided into 1 × N line segments, called processing unit (PU). Then, the statistical reference is evaluated in each PU, which reveals the randomness of pixels in the local image region. The context is designed based on both neighbor pixels and the statistical reference. Finally, each pixel is adaptively compressed based on the proposed context condition. In the experiment, the proposed scheme yields the comparable performance to the standard JPEG-LS [1], while the number of context conditions are decreased by 30%. Moreover, the proposed system outperforms H.264/AVC [2] and JPEG-XR [3] by 8.3% and 4.9%, respectively.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122529806","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
An image processing algorithm for accurate extraction of the centerline from human metaphase chromosomes 一种精确提取人类中期染色体中心线的图像处理算法
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5652017
Akila Subasinghe Arachchige, J. Samarabandu, J. Knoll, Wahab Khan, P. Rogan
{"title":"An image processing algorithm for accurate extraction of the centerline from human metaphase chromosomes","authors":"Akila Subasinghe Arachchige, J. Samarabandu, J. Knoll, Wahab Khan, P. Rogan","doi":"10.1109/ICIP.2010.5652017","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5652017","url":null,"abstract":"The study of human metaphase chromosomes is an important aspect in clinical diagnosis of genetic disorders. Although many image processing techniques have been developed for chromosomal karyotyping to assist in laboratory diagnosis, they fail to provide reliable results in segmenting and extracting the centerline of chromosomes due to their shape variability when placed on microscope slides. In this paper we propose a hybrid algorithm that uses Gradient Vector Flow active contours, Discrete Curve Evolution based skeleton pruning and morphological thinning to provide a reliable centerline that is robust to shape variations of the chromosomes. Effective identification of the chromosome outline with its centerline provides a basis for further operations such as automated chromosome classification and centromere identification.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"386 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122849036","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: 39
Frame compatible formats for 3D video distribution 帧兼容格式的3D视频分发
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651071
A. Vetro
{"title":"Frame compatible formats for 3D video distribution","authors":"A. Vetro","doi":"10.1109/ICIP.2010.5651071","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5651071","url":null,"abstract":"Stereoscopic video will soon be delivered to the home through various channels. To make this feasible for some channels, the representation of the stereo video is modified to accommodate certain constraints on legacy systems. Among the various constraints that must be considered include the capabilities of production equipment and transmission infrastructure, as well as existing receivers and uncompressed digital interfaces between devices within the home. This paper outlines the typical constraints that are encountered in these domains and provides an overview of the various frame-compatible formats that are being considered for distribution of 3D video through such legacy systems. The benefits and drawbacks of these formats are discussed and the current status in various industry forums is reviewed.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123026121","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: 48
Performance analysis of the pyramid motion compensation based on quantization noise modeling 基于量化噪声建模的锥体运动补偿性能分析
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5650827
Rong Zhang, M. Comer
{"title":"Performance analysis of the pyramid motion compensation based on quantization noise modeling","authors":"Rong Zhang, M. Comer","doi":"10.1109/ICIP.2010.5650827","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5650827","url":null,"abstract":"We present in this paper the rate distortion performance analysis of the pyramid motion compensation for video spatial scalability. Theoretical performance function is derived in closed form based on quantization noise modeling. Evaluation of the rate distortion performance functions shows that, compared to intra-layer motion-compensated prediction coding the enhancement layer, pyramid method is expected to achieve more efficient compression if the base layer is encoded at a sufficient high quality, i.e., the encoded rate is high enough.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121884561","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
Automatic optic disc detection through background estimation 通过背景估计自动检测视盘
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5653473
Shijian Lu, Joo-Hwee Lim
{"title":"Automatic optic disc detection through background estimation","authors":"Shijian Lu, Joo-Hwee Lim","doi":"10.1109/ICIP.2010.5653473","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5653473","url":null,"abstract":"This paper presents an automatic optic disc (OD) detection technique. Given a retinal image, the proposed method first estimates a retinal background surface through an iterative Savitzky-Golay smoothing procedure. The OD is then detected through the global thresholding of the difference between the retinal image and the estimated background surface. Finally, an OD boundary is determined after a pair of morphological post-processing operations. The proposed technique has been tested over three public datasets that are composed of 130, 89, and 40 retinal images, respectively. Experiments show that an average OD detection accuracy of 96.91% is attained. In addition, 84.37% OD pixels are correctly located compared with the manually labeled ones.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122123806","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: 22
Improvement of H.264 SVC by model-based adaptive resolution upconversion 基于模型的自适应分辨率上转换改进H.264 SVC
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5650774
Xiaolin Wu, Mingkai Shao, Xiangjun Zhang
{"title":"Improvement of H.264 SVC by model-based adaptive resolution upconversion","authors":"Xiaolin Wu, Mingkai Shao, Xiangjun Zhang","doi":"10.1109/ICIP.2010.5650774","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5650774","url":null,"abstract":"H.264 SVC extension, as the state of art scalable video coding standard, can offer a single code stream to serve diverse communication bandwidths and display resolutions. However, the rate-distortion performance of H.264 SVC is still inferior to the non-scalable H.264 AVC. To reduce the performance gap between H.264 SVC and H.264 AVC, we propose a model-based adaptive resolution upconversion algorithm to improve the precision of the H.264 SVC inter-layer prediction. The new algorithm treats the up-sampling of video frames as an inverse problem of initial H.264 SVC down-sampling operation, and it significantly improves the performance of current H.264 SVC by optimally reversing the down-sampling filter.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116723429","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: 8
Modulation domain texture decomposition 调制域纹理分解
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651542
C. T. Nguyen, J. Havlicek
{"title":"Modulation domain texture decomposition","authors":"C. T. Nguyen, J. Havlicek","doi":"10.1109/ICIP.2010.5651542","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5651542","url":null,"abstract":"We introduce a novel texture analysis algorithm capable of extracting visually meaningful and locally coherent sub-textural components from images. The algorithm operates in the modulation domain where texture is represented by locally coherent amplitude and frequency modulation functions. The texture components are iteratively extracted based on a new quantitative coherency measure. The effectiveness of the algorithm is demonstrated on several well-known Brodatz textures.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"21 1-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117005898","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
Efficient bit allocation for multiview image coding & view synthesis 多视图图像编码和视图合成的有效位分配
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5651655
Gene Cheung, V. Velisavljevic
{"title":"Efficient bit allocation for multiview image coding & view synthesis","authors":"Gene Cheung, V. Velisavljevic","doi":"10.1109/ICIP.2010.5651655","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5651655","url":null,"abstract":"The encoding of both texture and depth maps of a set of multi-view images, captured by a set of spatially correlated cameras, is important for any 3D visual communication systems based on depth-image-based rendering (DIBR). In this paper, we address the problem of efficient bit allocation among texture and depth maps of multi-view images. We pose the following question: for chosen (1) coding tool to encode texture and depth maps at the encoder and (2) view synthesis tool to reconstruct uncoded views at the decoder, how to best select captured views for encoding and distribute available bits among texture and depth maps of selected coded views, such that visual distortion of a “metric” of reconstructed views is minimized. We show that using the monotonicity assumption, suboptimal solutions can be efficiently pruned from the feasible space during parameter search. Our experiments show that optimal selection of coded views and associated quantization levels for texture and depth maps can outperform a heuristic scheme using constant levels for all maps (commonly used in the standard implementations) by up to 2.0dB. Moreover, the complexity of our scheme can be reduced by up to 66% over full search without loss of optimality.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129845581","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: 10
A novel fingerprint smear detection method based on integrated sub-band feature representation 一种基于集成子带特征表示的指纹涂抹检测新方法
2010 IEEE International Conference on Image Processing Pub Date : 2010-12-03 DOI: 10.1109/ICIP.2010.5654166
Xiukun Yang, Zhigang Yang
{"title":"A novel fingerprint smear detection method based on integrated sub-band feature representation","authors":"Xiukun Yang, Zhigang Yang","doi":"10.1109/ICIP.2010.5654166","DOIUrl":"https://doi.org/10.1109/ICIP.2010.5654166","url":null,"abstract":"Fingerprint smear detection has become a challenging issue due to the erratic texture of the smear tissue and its similarity to normal finger area. This paper presents a novel fingerprint image smear detection approach integrating symmetric wavelet transform (SWT), gray level co-occurrence matrix and DCT. A feature extraction algorithm is first proposed by utilizing SWT to decompose each fingerprint and characterizing local texture features of defective finger tissue with the SWT coefficients in sub-bands 4∼19. Concurrence matrix based texture features are incorporated into the feature vector to further improve the texture classification sensitivity. The fused feature vector is then fed into a pre-trained genetic neural network classifier, which identifies smears by labeling fingerprint sub-blocks into different categories. Finally, DCT decomposition is used to detect abnormalities in smear images. Experimental results indicate that the hybrid method can effectively identify various types of fingerprint smears.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129849494","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
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