Teerach Ittatirut, Akkarote Lekhalawan, Watcharapong Tangjitwattanakorn, C. Pornpanomchai
{"title":"图像处理技术测量苹果甜度","authors":"Teerach Ittatirut, Akkarote Lekhalawan, Watcharapong Tangjitwattanakorn, C. Pornpanomchai","doi":"10.1109/ICT-ISPC.2016.7519266","DOIUrl":null,"url":null,"abstract":"This research paper developed a system which allows users to determine the sweetness level of apples by using an image of the flesh part of the apple. The system, developed based with MATLAB, consists of four main modules, namely - 1) Image Acquisition, 2) Image Preprocessing, 3) Sweetness Determination, and 4) Result Determination. Two color spaces are utilized as the judging criteria of this paper, which are RGB and HSV color spaces. An Artificial Neural Network (ANN) is used as the main technique of sweetness determination. The average result of this implementation is a sweetness level of 79.03%.","PeriodicalId":359355,"journal":{"name":"2016 Fifth ICT International Student Project Conference (ICT-ISPC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Apple Sweetness Measurement by image processing technique\",\"authors\":\"Teerach Ittatirut, Akkarote Lekhalawan, Watcharapong Tangjitwattanakorn, C. Pornpanomchai\",\"doi\":\"10.1109/ICT-ISPC.2016.7519266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research paper developed a system which allows users to determine the sweetness level of apples by using an image of the flesh part of the apple. The system, developed based with MATLAB, consists of four main modules, namely - 1) Image Acquisition, 2) Image Preprocessing, 3) Sweetness Determination, and 4) Result Determination. Two color spaces are utilized as the judging criteria of this paper, which are RGB and HSV color spaces. An Artificial Neural Network (ANN) is used as the main technique of sweetness determination. The average result of this implementation is a sweetness level of 79.03%.\",\"PeriodicalId\":359355,\"journal\":{\"name\":\"2016 Fifth ICT International Student Project Conference (ICT-ISPC)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Fifth ICT International Student Project Conference (ICT-ISPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICT-ISPC.2016.7519266\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Fifth ICT International Student Project Conference (ICT-ISPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICT-ISPC.2016.7519266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Apple Sweetness Measurement by image processing technique
This research paper developed a system which allows users to determine the sweetness level of apples by using an image of the flesh part of the apple. The system, developed based with MATLAB, consists of four main modules, namely - 1) Image Acquisition, 2) Image Preprocessing, 3) Sweetness Determination, and 4) Result Determination. Two color spaces are utilized as the judging criteria of this paper, which are RGB and HSV color spaces. An Artificial Neural Network (ANN) is used as the main technique of sweetness determination. The average result of this implementation is a sweetness level of 79.03%.
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