2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15)最新文献_第4页

An improved image denoising using wavelet transform 一种改进的小波变换图像去噪方法

2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15) Pub Date : 2015-12-01 DOI: 10.1109/ITACT.2015.7492679

B. N. Aravind, K. Suresh

{"title":"An improved image denoising using wavelet transform","authors":"B. N. Aravind, K. Suresh","doi":"10.1109/ITACT.2015.7492679","DOIUrl":"https://doi.org/10.1109/ITACT.2015.7492679","url":null,"abstract":"Image is one of the most important part of multi-media that is used in several areas from simple photography to medical and satellite imaging. In each field its usage and requirements are very different. So, an image required to be clean and free from artifacts to convey better information. But, acquisition is always associated with some sort of degradation that may be due to atmospheric conditions, camera sensors and/or lighting conditions. In this paper we are considering the degradation only due to noise and in specific additive Gaussian noise. Here, we are proposing to use a dual step approach for denoising. In the first step it uses stationary wavelet based denoising and in continuation to second step, a spatial domain method, Non-local means, is used to remove the artifacts. The simulation is done on both real and synthetic images and it shows an improvement over existing methods. Image is one of the most important part of multi- media that is used in several areas from simple photography to medical and satellite imaging. In each field its usage and requirements are very different. So, an image required to be clean and free from artifacts to convey better information. But, acquisition is always associated with some sort of degradation that may be due to atmospheric conditions, camera sensors and/or lighting conditions. In this paper we are considering the degradation only due to noise and in specific additive Gaussian noise. Here, we are proposing to use a dual step approach for denoising. In the first step it uses stationary wavelet based denoising and in continuation to second step, a spatial domain method, Non-local means, is used to remove the artifacts. The simulation is done on both real and synthetic images and it shows an improvement over existing methods.","PeriodicalId":336783,"journal":{"name":"2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15)","volume":"01 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130181665","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

Synthetic aerial image generation for miniature aerial system 微型航拍系统的综合航拍图像生成

2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15) Pub Date : 2015-12-01 DOI: 10.1109/ITACT.2015.7492685

A. Srikanth, L. Krishnamurthy, L. Prathyusha, V. Naidu

引用次数: 1

Vision based terrain relative navigation sensor

2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15) Pub Date : 2015-12-01 DOI: 10.1109/ITACT.2015.7492669

Arindam Mal, J. Laha, Tanisha Bhatia, Subhalakshmi K, Shwetha Kanawalli

{"title":"Vision based terrain relative navigation sensor","authors":"Arindam Mal, J. Laha, Tanisha Bhatia, Subhalakshmi K, Shwetha Kanawalli","doi":"10.1109/ITACT.2015.7492669","DOIUrl":"https://doi.org/10.1109/ITACT.2015.7492669","url":null,"abstract":"Space field has witnessed vigorous change due to evolution of image processing. For precise spacecraft navigation and landing, high end image processing algorithm has to be executed in real time. In this paper, vision based in plane relative positioning and velocity sensor is discussed for precise landing. Image acquisition of the planet from the camera at the altitude of 6km–200m at successive time interval is planned. These images are used for the estimation of velocity and relative position using phase correlation based method. Image FFT are performed to compute correlation using radiation hardened FPGA. Sub pixel-shift of 1/20th pixel between two images is calculated from correlation peak using interpolation technique. Terrain relative horizontal velocity is estimated from the images pixel-shift per unit time with the help of altimeter data. This measurement technique is robust against image illumination variation, rotation tolerance of 0.3 degree between two successive images and Jitter of the space craft. The computation time is assessed from the simulation and optimized to get a faster update rate. A proto model of the sensor is tested successfully in laboratory environment using a scene simulation of lunar terrain in front of the sensor.","PeriodicalId":336783,"journal":{"name":"2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15)","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122448480","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

Design and implementation of mesh and torus for network on chip based system 基于片上网络的网格和环面的设计与实现

2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15) Pub Date : 2015-12-01 DOI: 10.1109/ITACT.2015.7492661

S. V., N. Chiplunkar

引用次数: 0

Eye Center Localization using cascaded corner detection and geometrical measurements algorithm 基于级联角点检测和几何测量算法的眼中心定位

2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15) Pub Date : 2015-12-01 DOI: 10.1109/ITACT.2015.7492678

Ravi Kumar Y B, C. Kumar

{"title":"Eye Center Localization using cascaded corner detection and geometrical measurements algorithm","authors":"Ravi Kumar Y B, C. Kumar","doi":"10.1109/ITACT.2015.7492678","DOIUrl":"https://doi.org/10.1109/ITACT.2015.7492678","url":null,"abstract":"The eye center localization can be achieved using the corner detection algorithm, which is an algorithm intends to find the corner points of a face and use of corner detection algorithm is to mark a point, where the line should be drawn on parts of a face. The corner detection algorithm used in this research work performs the task of finding the corners of a face such as eyes, nose, and mouth, but the paper mainly focuses on the corners of an eye using an eye detection algorithm, as the paper intends to find the center of an eye. The eye detection algorithm is required to consider only the points of our interest. The corner points obtained using corner detection algorithm is given to eye detection algorithm, which considers only the corner points that are found near eyes, and these points are used as a reference to draw a rectangle using geometrical measurement algorithm. The geometrical measurement is another method employed in this research work to draw a rectangle around the corner points of two eyes. The output of geometrical measurement algorithm is an exact center of two eyes. All three algorithms have been linked to one another. The output of corner detection algorithm is given to eye detection algorithm, which in turn gives its output to geometrical measurements algorithm. Since there is a cascading of output from one algorithm to another, the method is collectively called as Eye Center Localization with cascaded corner detection, and geometrical measurements algorithm. The accuracy achieved during the process of localizing the center of an eye is 99.64%, which is better than other approaches to the best of our knowledge.","PeriodicalId":336783,"journal":{"name":"2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15)","volume":"544 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133487990","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 authentication mechanism to prevent SQL injection by syntactic analysis 通过语法分析防止SQL注入的身份验证机制

2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15) Pub Date : 2015-12-01 DOI: 10.1109/ITACT.2015.7492650

Ashwin Ramesh, Anirban Bhowmick, A. Lal

引用次数: 4

A Reading Oriented Overlapping Text based CAPTCHA 一个面向阅读的基于重叠文本的验证码

2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15) Pub Date : 2015-12-01 DOI: 10.1109/ITACT.2015.7492651

Anuja Thakur, Rohit Chaware, Nikhil S., S. H. Islam

引用次数: 4

Combined segmentation technique for suspicious mass detection in Mammography 乳房x线摄影中可疑肿块检测的联合分割技术

2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15) Pub Date : 2015-12-01 DOI: 10.1109/ITACT.2015.7492680

A. Makandar, Bhagirathi Halalli

{"title":"Combined segmentation technique for suspicious mass detection in Mammography","authors":"A. Makandar, Bhagirathi Halalli","doi":"10.1109/ITACT.2015.7492680","DOIUrl":"https://doi.org/10.1109/ITACT.2015.7492680","url":null,"abstract":"Breast cancer is one of the prevalent causes of death among women worldwide. Early detection may save life of women and helps for timely recovery. There are several screening tests are available to detect the cancer such as Ultrasound, Mammography and MRI. Among these, Mammography is the most effective screening test for breast cancer. The purpose of screening was to detect abnormalities at an early stage, which may require monitoring and treatment. Mass and microcalcifications are basic signs of abnormalities found using screening test. However it is very difficult to find the mass and its spread in the mammogram. Therefore Computer Aided Diagnosis (CAD) helps radiologist to analysis the abnormality in the mammography without much difficulty. The proposed method aims to segment the suspicious mass from the mammography using combined technique of using watershed, morphological operations and active contour based segmentation techniques. Here we show that, proposed segmentation technique helps to minimize the over segmentation of conventional watershed segmentation technique. The efficiency of the algorithm is measured with Mini-MIAS database. The results reported satisfactory segmentation using proposed contour based segmentation technique. The accuracy of the algorithm is reported to be 95.86% in identification of mass in mammography.","PeriodicalId":336783,"journal":{"name":"2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117135342","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

Modeling and simulation of 800 kV multi-terminal UHVDC system in India 印度800千伏多端子特高压直流系统建模与仿真

2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15) Pub Date : 2015-12-01 DOI: 10.1109/ITACT.2015.7492692

W. Ahmed, Balachandra Hegde, Pavan R. Manvi, A. S., P. Manohar

引用次数: 2

Carbon nanopowder based fragrance sensor 碳纳米粉香味传感器

2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15) Pub Date : 2015-12-01 DOI: 10.1109/ITACT.2015.7492662

S. Panda, M. Suresh

引用次数: 0