{"title":"Real Time Hardware Software Co-SimulationEdge Map Accumulation Based FeatureExtraction","authors":"A. Wagh, M. Wankhade","doi":"10.15662/IJAREEIE.2015.0404022","DOIUrl":null,"url":null,"abstract":"There are many applications like automotive vehicle control, video surveillance, remote gesture control etc. for which high speed image processing employing high frame rate image sensors provide details on motion which is useful for improving the speed and precision of the recognition. Therefore, the proposed system presents that the VLSI is capable for extracting motion features from moving images. The extraction of motion features from moving images is developed by using row parallel and pixel-parallel architectures. This system proposes a novel fast texture feature extraction method which takes advantage of the similarities between the neighbouring pixels to estimate texture values. Here, firstly by using FPGA and MATLAB edge detection and mapping take place.The feature extraction and the filtering process can be done through the MATLAB.","PeriodicalId":13702,"journal":{"name":"International Journal of Advanced Research in Electrical, Electronics and Instrumentation Energy","volume":"9 1","pages":"2015-2019"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Research in Electrical, Electronics and Instrumentation Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15662/IJAREEIE.2015.0404022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
There are many applications like automotive vehicle control, video surveillance, remote gesture control etc. for which high speed image processing employing high frame rate image sensors provide details on motion which is useful for improving the speed and precision of the recognition. Therefore, the proposed system presents that the VLSI is capable for extracting motion features from moving images. The extraction of motion features from moving images is developed by using row parallel and pixel-parallel architectures. This system proposes a novel fast texture feature extraction method which takes advantage of the similarities between the neighbouring pixels to estimate texture values. Here, firstly by using FPGA and MATLAB edge detection and mapping take place.The feature extraction and the filtering process can be done through the MATLAB.