2010 2nd International Conference on Image Processing Theory, Tools and Applications最新文献_第7页

Co-parent selection for fast region merging in pyramidal image segmentation 锥体图像分割中快速区域合并的共父选择

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586811

M. Stojmenovic, Andrés Solís Montero, A. Nayak

{"title":"Co-parent selection for fast region merging in pyramidal image segmentation","authors":"M. Stojmenovic, Andrés Solís Montero, A. Nayak","doi":"10.1109/IPTA.2010.5586811","DOIUrl":"https://doi.org/10.1109/IPTA.2010.5586811","url":null,"abstract":"The goal of image segmentation is to partition an image into regions that are internally homogeneous and heterogeneous with respect to other neighbouring regions. We build on the pyramid image segmentation work proposed by [3] and [9] by making a more efficient method by which children chose parents within the pyramid structure. Instead of considering only four immediate parents as in [3], in [9] each child node considers the neighbours of its candidate parent, and the candidate parents of its neighbouring nodes in the same level. In this paper, we also introduce the concept of a co-parent node for possible region merging at the end of each iteration. The new parents of the former children are co-parent candidates as if they are similar. The co-parent is chosen to be the one with the largest receptive field among candidate co-parents. Each child then additionally considers one more candidate, the co-parent of the previous parent. Other steps in the algorithm, and its overall layout, were also improved. The new algorithm is tested on a set of images. Our algorithm is fast (produces segmentations within seconds), results in the correct segmentation of elongated and large regions, very simple compared to plethora of existing algorithms, and appears competitive in segmentation quality with the best publicly available implementations. The major improvement over [9] is that it produces visually appealing results at earlier levels of pyramid segmentation, and not only at the top one.","PeriodicalId":236574,"journal":{"name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114323662","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

Human visual system based mammogram enhancement and analysis 基于人类视觉系统的乳房x线照片增强与分析

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586759

Yicong Zhou, K. Panetta, S. Agaian

引用次数: 33

Improved two-bit transform-based motion estimation via extension of matching criterion 基于扩展匹配准则的改进二比特变换运动估计

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586808

Changryoul Choi, Jechang Jeong

引用次数: 1

People re-identification by classification of silhouettes based on sparse representation 基于稀疏表示的人物轮廓分类再识别

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586809

D. T. Cong, C. Achard, L. Khoudour

引用次数: 22

Detecting potential human activities using coherent change detection 使用连贯的变化检测来检测潜在的人类活动

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586772

N. Milisavljevic, D. Closson, I. Bloch

引用次数: 8

Covariance-based adaptive deinterlacing method using edge map 基于协方差的边缘图自适应去隔行方法

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586741

Sang-Jun Park, Gwanggil Jeon, Jechang Jeong

{"title":"Covariance-based adaptive deinterlacing method using edge map","authors":"Sang-Jun Park, Gwanggil Jeon, Jechang Jeong","doi":"10.1109/IPTA.2010.5586741","DOIUrl":"https://doi.org/10.1109/IPTA.2010.5586741","url":null,"abstract":"The purpose of this article is to discuss deinterlacing results in a computationally constrained and varied environment. The proposed covariance-based adaptive deinterlacing method using edge map (CADEM) consists of two methods: the modified edge-based line averaging (MELA) method for plain regions and the covariance-based adaptive deinterlacing (CAD) method along the edges. The proposed CADEM uses the edge map of the interlaced input image for assigning the appropriate method between MELA and the modified CAD (MCAD) methods. We first introduce the MCAD method. The principle idea of the MCAD is based on the correspondence between the high-resolution covariance and the low-resolution covariance. The MCAD estimates the local covariance coefficients from an interlaced image using Wiener filtering theory and then uses these optimal minimum mean squared error interpolation coefficients to obtain a deinterlaced image. However, the MCAD method, though more robust than most known methods, was not found to be very fast compared with the others. To alleviate this issue, we propose an adaptive selection approach rather than using only one MCAD algorithm. The proposed hybrid approach of switching between the MELA and MCAD is proposed to reduce the overall computational load. A reliable condition to be used for switching the schemes is established by the edge map composed of binary image. The results of computer simulations showed that the proposed methods outperformed a number of methods presented in the literature.","PeriodicalId":236574,"journal":{"name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125135047","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: 17

Intravascular Ultrasound image segmentation: A helical active contour method 血管内超声图像分割:一种螺旋活动轮廓法

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586803

M. Jourdain, J. Meunier, J. Sequeira, G. Cloutier, J. Tardif

引用次数: 8

Multi-level visual alphabets 多层次视觉字母

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586757

Menno Israël, J. Schaar, E. V. D. Broek, M. D. Uyl, P. V. D. Putten

引用次数: 1

An algorithm for iris extraction 一种虹膜提取算法

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586756

Tomáš Fabián, Jan Gaura, Petr Kotas

引用次数: 4

Support vector machine fusion of multisensor imagery in tropical ecosystems 热带生态系统多传感器图像的支持向量机融合

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586788

R. Pouteau, B. Stoll, S. Chabrier

引用次数: 1