{"title":"CBIR Using SVM, Genetic algorithm, Neural Network, Fuzzy Logic, Neuro-fuzzy Technique:A Survey","authors":"R. Vani, Tithi Vyas, Nikunj Tahilramani","doi":"10.1109/IC3IOT.2018.8668197","DOIUrl":null,"url":null,"abstract":"Content based image recovery [CBIR] is known as Query by image content based visual data recovery. CBIR is the use of PC vision used to recovering the image for finding a particular image from expansive database of image. The paper discusses about the different techniques of CBIR like SVM, genetic algorithm, neural networks, fuzzy logic and neuro-fuzzy. These techniques are extensively used for retrieval of images which have similar texture, shape and color features to the input image. The paper also attempts on comparing the techniques mentioned in this paper.","PeriodicalId":155587,"journal":{"name":"2018 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Communication, Computing and Internet of Things (IC3IoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3IOT.2018.8668197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Content based image recovery [CBIR] is known as Query by image content based visual data recovery. CBIR is the use of PC vision used to recovering the image for finding a particular image from expansive database of image. The paper discusses about the different techniques of CBIR like SVM, genetic algorithm, neural networks, fuzzy logic and neuro-fuzzy. These techniques are extensively used for retrieval of images which have similar texture, shape and color features to the input image. The paper also attempts on comparing the techniques mentioned in this paper.