2012 International Conference on Machine Vision and Image Processing (MVIP)最新文献_第2页

Edge preserving algorithm for impulse noise removal using FPGA 基于FPGA的脉冲噪声去除边缘保持算法

2012 International Conference on Machine Vision and Image Processing (MVIP) Pub Date : 2012-12-01 DOI: 10.1109/MVIP.2012.6428763

S. Jayanthi Sree, S. Ashwin, S. Aravind Kumar

引用次数: 6

Condition monitoring of grinding process through machine vision system 利用机器视觉系统对磨削过程进行状态监测

2012 International Conference on Machine Vision and Image Processing (MVIP) Pub Date : 2012-12-01 DOI: 10.1109/MVIP.2012.6428789

V. Gopan, S. Ragavanantham, S. Sampathkumar

引用次数: 4

A robust watermarking method based on Compressed Sensing and Arnold scrambling 一种基于压缩感知和阿诺德置乱的鲁棒水印方法

2012 International Conference on Machine Vision and Image Processing (MVIP) Pub Date : 2012-12-01 DOI: 10.1109/MVIP.2012.6428771

V. Veena, G. J. Lal, S. Prabhu, S. S. Kumar, K. P. Soman

引用次数: 23

Classification of color objects like fruits using probability density function (PDF) 利用概率密度函数对水果等颜色物体进行分类(PDF)

2012 International Conference on Machine Vision and Image Processing (MVIP) Pub Date : 2012-12-01 DOI: 10.1109/MVIP.2012.6428746

A. Gopal, R. Subhasree, V. K. Srinivasan, N. Varsha, S. Poobal

引用次数: 9

Development of navigation system for autonomous vehicle 自动驾驶汽车导航系统的研制

2012 International Conference on Machine Vision and Image Processing (MVIP) Pub Date : 2012-12-01 DOI: 10.1109/MVIP.2012.6428785

D. Sivaraj, A. Kandaswamy, S. Vetrivel

{"title":"Development of navigation system for autonomous vehicle","authors":"D. Sivaraj, A. Kandaswamy, S. Vetrivel","doi":"10.1109/MVIP.2012.6428785","DOIUrl":"https://doi.org/10.1109/MVIP.2012.6428785","url":null,"abstract":"Autonomous vehicle is an auto piloted vehicle which includes automatic steering, driving and communication with the environment. A novel algorithm with two level cascaded Kalman filter and PID controller is proposed for steer control. Filtering and calculation of the lateral error using Kalman filter is the first level. PID control algorithm uses the filtered value and calculates the required steer to reduce the lateral error towards zero. The experimental results show that the combination of Kalman Filter with PID for lateral control reduces trajectory error to a minimum over the entire course of the track. The closed loop algorithm for dc motor helps in modifying the speed depending on the nature of the track. The obstacle sensor measures the distance between preceding moving vehicle and helps to maintain the safe distance. The wireless RF module enables the vehicle to communicate with the neighboring vehicle as well as with infrastructure, which helps the auto-piloted vehicle to get the traffic situations and environmental conditions for better path planning and platooning. Combination of the proposed steer control, speed control, obstacle detection and communication algorithms helps the auto-piloted vehicles to navigate the track with better tracking accuracy and completes the test bed track in optimum speed with shortest time.","PeriodicalId":170271,"journal":{"name":"2012 International Conference on Machine Vision and Image Processing (MVIP)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134439665","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

Automated identification of centromere position and centromere index(CI) of human chromosome images 人类染色体图像着丝粒位置和着丝粒指数(CI)的自动识别

2012 International Conference on Machine Vision and Image Processing (MVIP) Pub Date : 2012-12-01 DOI: 10.1109/MVIP.2012.6428749

Nirmala Madian

引用次数: 3

Dental cyst diagnosis using texture analysis 牙囊肿的织构分析诊断

2012 International Conference on Machine Vision and Image Processing (MVIP) Pub Date : 2012-12-01 DOI: 10.1109/MVIP.2012.6428774

B. Vijayakumari, G. Ulaganathan, A. Banumathi, A. Banu, M. Kayalvizhi

引用次数: 12

Algorithm on tracing the boundary of medical images using abstract cellular complex 基于抽象细胞复合体的医学图像边界跟踪算法

2012 International Conference on Machine Vision and Image Processing (MVIP) Pub Date : 2012-12-01 DOI: 10.1109/MVIP.2012.6428780

G. Krishnan, N. Vijaya

引用次数: 6

Comparative analysis of different wavelet filters for low contrast and brightness enhancement of multispectral remote sensing images 不同小波滤波器对多光谱遥感图像低对比度和亮度增强的比较分析

2012 International Conference on Machine Vision and Image Processing (MVIP) Pub Date : 2012-12-01 DOI: 10.1109/MVIP.2012.6428766

A. Bhandari, M. Gadde, A. Kumar, G. K. Singh

{"title":"Comparative analysis of different wavelet filters for low contrast and brightness enhancement of multispectral remote sensing images","authors":"A. Bhandari, M. Gadde, A. Kumar, G. K. Singh","doi":"10.1109/MVIP.2012.6428766","DOIUrl":"https://doi.org/10.1109/MVIP.2012.6428766","url":null,"abstract":"This paper presents wavelet filter based low contrast multispectral remote sensing image enhancement by using singular value decomposition (SVD). The input image is decomposed into the four frequency subbands through discrete wavelet transform (DWT), and estimates the singular value matrix of the low-low subband image and then, it reconstructs the enhanced image by applying inverse DWT. This technique is especially useful for enhancement of INSAT as well as LANDSAT satellite images for better feature extraction. The singular value matrix represents the intensity information of the given image, and any change on the singular values changes the intensity of the input image. The proposed technique converts the image into DWT-SVD domain and after normalizing the singular value matrix; the enhanced image is reconstructed with the help of IDWT. The visual and quantitative results clearly show the edge sharpness, increased efficiency and flexibility of the proposed method based on Meyer wavelet and SVD over the various wavelet filters and also with exiting GHE technique. The experimental results (Mean, Standard Deviation, MSE and PSNR) derived from Meyer wavelet and SVD show the superiority of the proposed method over conventional methods.","PeriodicalId":170271,"journal":{"name":"2012 International Conference on Machine Vision and Image Processing (MVIP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128461900","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: 27

Multi class Support Vector Machines classifier for machine vision application 多类支持向量机分类器在机器视觉中的应用

2012 International Conference on Machine Vision and Image Processing (MVIP) Pub Date : 2012-12-01 DOI: 10.1109/MVIP.2012.6428794

J. Prakash, K. Vignesh, C. Ashok, R. Adithyan

引用次数: 33