2009 IEEE International Conference on Signal and Image Processing Applications最新文献_第7页

Effective segmentation technique for 0.5m resolution World View-1 imagery 0.5m分辨率World View-1图像的有效分割技术

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478615

Ashwini S. Kunte, A. Bhalchandra

{"title":"Effective segmentation technique for 0.5m resolution World View-1 imagery","authors":"Ashwini S. Kunte, A. Bhalchandra","doi":"10.1109/ICSIPA.2009.5478615","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478615","url":null,"abstract":"Over the years, scientists have been trying to formulate efficient segmentation techniques to characterize the objects in the image. Recent days segmentation is used extensively in automated image analysis. The ultimate aim in an automated system is to extract important features from the image data, from which description, interpretation or understanding of the scene can be provided by the machine. This task becomes difficult while dealing with high resolution imagery due to superfluous details, too many objects and possibly low contrast ratio present in the imagery. In this paper, we discuss the effectiveness of object based segmentation method such as edge guided region growing over simple region growing segmentation techniques for World View-0.5 meter high resolution imagery (Digital Globe imagery products). This paper is an attempt to develop an unsupervisory algorithm for automated software to segment high resolution urban satellite images. Experimental results demonstrate promising performance achievements compared to simple region based segmentation methods for detecting tall buildings. Furthermore, the simplicity of this method is an attractive feature for real-time applications.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130439943","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

Text correction in distorted label images by applying biquadratic transformation 应用双二次变换对扭曲标签图像进行文本校正

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478670

Huy Phat Le, Gueesang Lee

引用次数: 2

Embedded processor for array of hydrophone sensors to construct real time images for AUV using FPGA 基于FPGA的水听器传感器阵列嵌入式处理器构建水下航行器实时图像

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478624

M. H. Salih, M. Arshad

{"title":"Embedded processor for array of hydrophone sensors to construct real time images for AUV using FPGA","authors":"M. H. Salih, M. Arshad","doi":"10.1109/ICSIPA.2009.5478624","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478624","url":null,"abstract":"Implementation of embedded systems-on-chip on modern field programmable gate arrays (FPGAs) chip is doable due to its large density. Architecture of multilevel computing focusing on its embedded processor is suggested in our project. The architecture design of embedded processor presents the challenges and opportunities that stem from the task coarse granularity and the large number of input and output for each task. Thus, we have designed a new architecture called Embedded Concurrent Computing (ECC). The entire embedded processor architecture is implemented on the FPGA chip using VHDL. We have synthesized and evaluated the embedded system based on an Altera environment by using a DE2 board. The performances of a realistic application show scalable speedups comparable to that of the simulation. Furthermore, the results show the accuracy of Extended Kalman Filter (EKF) rather than the Kalman Filter (KF) in identifying the landmarks and target in underwater environment, and the usefulness of the multiple filtering techniques when the nonlinearities are too large due to linearization errors. We believe that implementation has been achieved in providing low complexity in terms of FPGA resource usage and frequency. In addition, the design methodology allows the embedded processor to be scalable as the entire system grows.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133510663","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

Shot view classification for playfield-based sports video 基于运动场的体育视频的镜头视图分类

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478688

Alfian Abdul Halin, M. Rajeswari, D. Ramachandram

引用次数: 8

Pattern recognition system of Jatropha curcas fruits using back propagation 麻疯树反向繁殖果实模式识别系统

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478719

Z. Effendi, R. Ramli, J. Ghani, M. N. A. Rahman

{"title":"Pattern recognition system of Jatropha curcas fruits using back propagation","authors":"Z. Effendi, R. Ramli, J. Ghani, M. N. A. Rahman","doi":"10.1109/ICSIPA.2009.5478719","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478719","url":null,"abstract":"Jatropha curcas has been widely accepted as a favorite agricultural solution for all subtropical and tropical that can produce high quantity and quality feedstock for bio energy. Jatropha curcas oil as biodiesel feedstock has a bright prospective because it is categorized as non edible oil which the availability will not be threaten by food purposes. Traditional identification of Jatropha curcas fruits is performed by human experts. The Jatropha curcas fruit quality depends on type and size of defects as well as skin color and fruit size. This research develops a pattern recognition system to identify the Jatropha curcas fruit maturity and grade the fruit into relevant quality category. The system is divided into two stages: the first stage is a training stage that is to extract the characteristics from the pattern. The second stages is to recognize the pattern by using the characteristics derived from the first task. Back propagation diagnosis model is used to recognition the Jatropha curcas fruits. It is ascertained for the developed system is used in recognizing the maturity of Jatropha curcas fruits. This paper presents a pattern recognition system of Jatropha curcas using back propagation.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"342 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120880633","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: 11

Multiwavelet in comparison with Barkel wavelet and 9/7 wavelet in image compression 多小波与Barkel小波和9/7小波在图像压缩中的比较

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478664

Z. Muhsen, D. Alzubaydi, Ayman J. Alnsour

引用次数: 0

Automatic power quality disturbance measurement in distribution systems 配电系统电能质量扰动自动测量

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478713

Sudipta Nath, Aritra Dasgupta

引用次数: 0

A nonlinear equalization technique for frequency selective fading channels 频率选择性衰落信道的非线性均衡技术

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478679

Amir Masoud Aminian-Modarres, Mohammad Molavi

引用次数: 2

Rotation-invariant texture analysis using multi-resolution Slit kernels 基于多分辨率狭缝核的旋转不变纹理分析

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478618

Kam-Keung Fung, K. Lam

引用次数: 0

Gasoline-ethanol (Gasohol) fuel blend spray characterization using digital imaging and image processing 汽油-乙醇(Gasohol)燃料混合喷雾特性使用数字成像和图像处理

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478721

Emishaw D. Iffa, A. K. Amirruddin, S. Shaharin Anwar, A. Rashid, A. Aziz

引用次数: 2