{"title":"Developing a framework for fruits detection from images","authors":"Md. Shaddam Hossen, M. Arefin, Rezaul Karim","doi":"10.1109/ECACE.2017.7913041","DOIUrl":null,"url":null,"abstract":"In this paper, we present a method for the detection of fruits from images. Several fruits detection techniques have been developed based on colour and shape values. However, different object images may have similar or identical colour and shape. Therefore, using only colour and shape features are not efficient enough for fruits detection. Considering this fact, in this paper, we propose a method using colour, shape and texture for detecting objects from images. We performed several experiments using fruits images and found that our system can almost accurately detect fruits types from images.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECACE.2017.7913041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, we present a method for the detection of fruits from images. Several fruits detection techniques have been developed based on colour and shape values. However, different object images may have similar or identical colour and shape. Therefore, using only colour and shape features are not efficient enough for fruits detection. Considering this fact, in this paper, we propose a method using colour, shape and texture for detecting objects from images. We performed several experiments using fruits images and found that our system can almost accurately detect fruits types from images.