{"title":"视频胶囊内窥镜的硬件高效实现","authors":"A. Darji, E. Nijin","doi":"10.1109/GCCE.2014.7031332","DOIUrl":null,"url":null,"abstract":"In this paper, we propose hardware efficient implementation of lifting based 2-D DWT and Sobel based edge detector for detail diagnosis in Wireless capsule endoscopy (WCE) in real-time. Architecture is developed based on the properties of the endoscopic images and the CMOS sensors. Proposed edge detection scheme works on the compressed DWT coefficients and offers 83.1 % compression ratio (CR). VLSI implementation of the proposed scheme consumes only 17050 standard cells.","PeriodicalId":145771,"journal":{"name":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Hardware efficient implementation of video capsule endoscopy\",\"authors\":\"A. Darji, E. Nijin\",\"doi\":\"10.1109/GCCE.2014.7031332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose hardware efficient implementation of lifting based 2-D DWT and Sobel based edge detector for detail diagnosis in Wireless capsule endoscopy (WCE) in real-time. Architecture is developed based on the properties of the endoscopic images and the CMOS sensors. Proposed edge detection scheme works on the compressed DWT coefficients and offers 83.1 % compression ratio (CR). VLSI implementation of the proposed scheme consumes only 17050 standard cells.\",\"PeriodicalId\":145771,\"journal\":{\"name\":\"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)\",\"volume\":\"136 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2014.7031332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2014.7031332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hardware efficient implementation of video capsule endoscopy
In this paper, we propose hardware efficient implementation of lifting based 2-D DWT and Sobel based edge detector for detail diagnosis in Wireless capsule endoscopy (WCE) in real-time. Architecture is developed based on the properties of the endoscopic images and the CMOS sensors. Proposed edge detection scheme works on the compressed DWT coefficients and offers 83.1 % compression ratio (CR). VLSI implementation of the proposed scheme consumes only 17050 standard cells.