{"title":"Creature recognition and identification by image processing based on expert system","authors":"T. Fukuda, O. Hasegawa","doi":"10.1109/ICSMC.1989.71411","DOIUrl":null,"url":null,"abstract":"An automatic organisms recognition and identification method for a micromanipulator system, using image processing based on an expert system, is described. The proposed method is based on the organism image segmentation method (OISM), which takes advantage of characteristic segment features that are independent of individual size and length. The complicated shapes of the organisms are divided into basic shape segments such as lines, circles, ovals, etc. The relation between segments are analyzed and described in the database of the expert system automatically. Organisms are then expressed simply by a set of segments, so that their individual differences are avoided. Tracking the movement of an organism by its image is also shown. The effectiveness of this method is confirmed by experimental results.<<ETX>>","PeriodicalId":72691,"journal":{"name":"Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics","volume":"1 1","pages":"837-842 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"1989-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSMC.1989.71411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
An automatic organisms recognition and identification method for a micromanipulator system, using image processing based on an expert system, is described. The proposed method is based on the organism image segmentation method (OISM), which takes advantage of characteristic segment features that are independent of individual size and length. The complicated shapes of the organisms are divided into basic shape segments such as lines, circles, ovals, etc. The relation between segments are analyzed and described in the database of the expert system automatically. Organisms are then expressed simply by a set of segments, so that their individual differences are avoided. Tracking the movement of an organism by its image is also shown. The effectiveness of this method is confirmed by experimental results.<>
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