P. Gokul, Shoraya Raj, Poornapushpakala Suriyamoorthi
{"title":"利用图像处理算法估计甜酸橙果实的体积和成熟度","authors":"P. Gokul, Shoraya Raj, Poornapushpakala Suriyamoorthi","doi":"10.1109/ICCSP.2015.7322703","DOIUrl":null,"url":null,"abstract":"The assessment of fruit quality is important for the cultivator and the consumer. The paper describes the image processing technique to estimate the volume and maturity of sweet lime. Spherical shape fruit is only considered for this analysis. The image is captured using a high resolution digital camera and cell phone. An algorithm is developed in MATLAB for finding the volume and maturity of the sweet lime. Volume of the fruit is computed by estimating the radius of the image. Maturity is determined with the RGB color coding based on RG ratio. The results are validated experimentally by measurement using Vernier Calipers.","PeriodicalId":174192,"journal":{"name":"2015 International Conference on Communications and Signal Processing (ICCSP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Estimation of volume and maturity of sweet lime fruit using image processing algorithm\",\"authors\":\"P. Gokul, Shoraya Raj, Poornapushpakala Suriyamoorthi\",\"doi\":\"10.1109/ICCSP.2015.7322703\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The assessment of fruit quality is important for the cultivator and the consumer. The paper describes the image processing technique to estimate the volume and maturity of sweet lime. Spherical shape fruit is only considered for this analysis. The image is captured using a high resolution digital camera and cell phone. An algorithm is developed in MATLAB for finding the volume and maturity of the sweet lime. Volume of the fruit is computed by estimating the radius of the image. Maturity is determined with the RGB color coding based on RG ratio. The results are validated experimentally by measurement using Vernier Calipers.\",\"PeriodicalId\":174192,\"journal\":{\"name\":\"2015 International Conference on Communications and Signal Processing (ICCSP)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Communications and Signal Processing (ICCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSP.2015.7322703\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Communications and Signal Processing (ICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSP.2015.7322703","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of volume and maturity of sweet lime fruit using image processing algorithm
The assessment of fruit quality is important for the cultivator and the consumer. The paper describes the image processing technique to estimate the volume and maturity of sweet lime. Spherical shape fruit is only considered for this analysis. The image is captured using a high resolution digital camera and cell phone. An algorithm is developed in MATLAB for finding the volume and maturity of the sweet lime. Volume of the fruit is computed by estimating the radius of the image. Maturity is determined with the RGB color coding based on RG ratio. The results are validated experimentally by measurement using Vernier Calipers.