Dheerajkumar Solanki, M. Wagh, Kailas Yedle, Y. S. Rao
{"title":"Evaluation of Image Processing Techniques on a Single Chip Digital Signal Processor","authors":"Dheerajkumar Solanki, M. Wagh, Kailas Yedle, Y. S. Rao","doi":"10.1109/ICECA.2018.8474682","DOIUrl":null,"url":null,"abstract":"Ahstract- The importance of embedded applications in image and video processing have been taking a large space in current research scenario. Image processing techniques like Histogram equalization, Filtering, Bit plane slicing, Sampling, Quantization, Edge detection, Contrast stretching, Thresholding, Gray scale conversion etc. are the basic building blocks in several fields such as satellite imaging, medical imaging, face recognition, video surveillance etc. The present paper aims at mathematical analysis of these basic building blocks and further examines their implementation on a floating point Digital Signal Processor (DSP) TMS320F28335. It also verifies the reliability of the implemented techniques using a performance parameter. The processed images have been displayed using Python for various image processing techniques to verify the theory.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"22 8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECA.2018.8474682","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
Ahstract- The importance of embedded applications in image and video processing have been taking a large space in current research scenario. Image processing techniques like Histogram equalization, Filtering, Bit plane slicing, Sampling, Quantization, Edge detection, Contrast stretching, Thresholding, Gray scale conversion etc. are the basic building blocks in several fields such as satellite imaging, medical imaging, face recognition, video surveillance etc. The present paper aims at mathematical analysis of these basic building blocks and further examines their implementation on a floating point Digital Signal Processor (DSP) TMS320F28335. It also verifies the reliability of the implemented techniques using a performance parameter. The processed images have been displayed using Python for various image processing techniques to verify the theory.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
