A. Manohar, D. Sneha, Kunal Sakhuja, Tanya R Dwivedii, C. Gururaj
{"title":"Drone based image processing through feature extraction","authors":"A. Manohar, D. Sneha, Kunal Sakhuja, Tanya R Dwivedii, C. Gururaj","doi":"10.1109/RTEICT.2017.8256577","DOIUrl":null,"url":null,"abstract":"The method proposed in the paper is to build a drone with camera to capture images of crops, soils, flodded areas and those images are processed to get required results. Building of Drone is the first part. The Bag of Words algorithm is then applied on the test image and specific features areextracted. These features are matched against the features of images in the predefined data set. The data set has classified categories of different types of cropimages. After matching result is given as the name of the category to which the testimage belongs.","PeriodicalId":342831,"journal":{"name":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTEICT.2017.8256577","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
The method proposed in the paper is to build a drone with camera to capture images of crops, soils, flodded areas and those images are processed to get required results. Building of Drone is the first part. The Bag of Words algorithm is then applied on the test image and specific features areextracted. These features are matched against the features of images in the predefined data set. The data set has classified categories of different types of cropimages. After matching result is given as the name of the category to which the testimage belongs.
本文提出的方法是建造一架带摄像头的无人机,对农作物、土壤、洪涝地区的图像进行采集,并对这些图像进行处理,得到所需的结果。无人机的建设是第一部分。然后将Bag of Words算法应用于测试图像并提取特定特征。这些特征与预定义数据集中的图像特征进行匹配。该数据集对不同类型的农作物图像进行了分类。匹配后的结果作为样本所属类别的名称给出。