{"title":"Segmentation of coconut crop bunch from tree images","authors":"S. Siddesha, S. Niranjan, V. N. Manjunath Aradhya","doi":"10.1109/CCIP.2016.7802865","DOIUrl":null,"url":null,"abstract":"Harvesting is one of the very crucial stages in crop management. Harvesting the crop at proper time will enhance the quality. In this paper we segmented the coconut crop bunch from tree image. Different segmentation methods like, Color based K-Means clustering, Marker controlled watershed, Grow-cut and Maximum Similarity based Region Merging (MSRM) are explored. Experimentation conducted using a dataset of 200 images for demonstration. Out of these methods the MSRM provides good result.","PeriodicalId":354589,"journal":{"name":"2016 Second International Conference on Cognitive Computing and Information Processing (CCIP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Conference on Cognitive Computing and Information Processing (CCIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIP.2016.7802865","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
Harvesting is one of the very crucial stages in crop management. Harvesting the crop at proper time will enhance the quality. In this paper we segmented the coconut crop bunch from tree image. Different segmentation methods like, Color based K-Means clustering, Marker controlled watershed, Grow-cut and Maximum Similarity based Region Merging (MSRM) are explored. Experimentation conducted using a dataset of 200 images for demonstration. Out of these methods the MSRM provides good result.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
