2013 International Conference on Information Systems and Computer Networks最新文献_第4页

Information hiding in gray scale images using pseudo-randomized visual cryptography algorithm for visual information security 利用伪随机视觉密码算法隐藏灰度图像中的信息，实现视觉信息安全

2013 International Conference on Information Systems and Computer Networks Pub Date : 2013-03-09 DOI: 10.1109/ICISCON.2013.6524202

C. Babu, M. Sridhar, B. Babu

引用次数: 21

Application of computer vision and color image segmentation for yield prediction precision 应用计算机视觉和彩色图像分割提高成品率预测精度

2013 International Conference on Information Systems and Computer Networks Pub Date : 2013-03-09 DOI: 10.1109/ICISCON.2013.6524164

R. S. Sarkate, N. Kalyankar, P. Khanale

{"title":"Application of computer vision and color image segmentation for yield prediction precision","authors":"R. S. Sarkate, N. Kalyankar, P. Khanale","doi":"10.1109/ICISCON.2013.6524164","DOIUrl":"https://doi.org/10.1109/ICISCON.2013.6524164","url":null,"abstract":"Precision agriculture is finding its roots in India. PA always deals with the accuracy and timely information about agriculture products. With the rapid development of computer hardware and software technology, the application of image processing technology in the agricultural research are playing key role [1]. Also, with the advantages of superior speed and accuracy, computer vision has attracted it as an alternative to human inspection [2]. In this paper, we have described a novel application of computer vision and color image segmentation for automating the precise yield prediction process of gerbera flower yield from the polyhouse images. The purpose of the present study is to design a decision support system that could generate flower yield information and serve as base for management & planning of flower marketing. Current study has applied the color image segmentation technique using threshold, to extract the flowers from the scene. Color is considered a fundamental physical property of agriculture products and foods in information analysis [3]. Using HSV color space and histogram analysis, flower color definition is done. Then by the image segmentation process, flowers were separated from the background & detected in the images. Image set with 75 images were tested with this technique.","PeriodicalId":216110,"journal":{"name":"2013 International Conference on Information Systems and Computer Networks","volume":"87 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116304285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 27

Content Based Image Retrieval using Discrete Wavelet Transform and Edge Histogram Descriptor 基于离散小波变换和边缘直方图描述符的图像检索

2013 International Conference on Information Systems and Computer Networks Pub Date : 2013-03-09 DOI: 10.1109/ICISCON.2013.6524166

S. Agarwal, A. K. Verma, Pardeep Singh

{"title":"Content Based Image Retrieval using Discrete Wavelet Transform and Edge Histogram Descriptor","authors":"S. Agarwal, A. K. Verma, Pardeep Singh","doi":"10.1109/ICISCON.2013.6524166","DOIUrl":"https://doi.org/10.1109/ICISCON.2013.6524166","url":null,"abstract":"This paper describes an efficient algorithm for Content Based Image Retrieval (CBIR) based on Discrete Wavelet Transform (DWT) and Edge Histogram Descriptor (EHD) feature of MPEG-7. The proposed algorithm is explained for image retrieval based on shape and texture features only not on the basis of color information. Here input image is first decomposed into wavelet coefficients. These wavelet coefficients give mainly horizontal, vertical and diagonal features in the image. After wavelet transform, Edge Histogram Descriptor is then used on selected wavelet coefficients to gather the information of dominant edge orientations. The combination of DWT and EHD techniques increases the performance of image retrieval system for shape and texture based search. The performance of various wavelets is also compared to find the suitability of particular wavelet function for image retrieval. The proposed algorithm is trained and tested for Wang image database. The results of retrieval are expressed in terms of Precision and Recall and compared with various other proposed schemes to show the superiority of our scheme.","PeriodicalId":216110,"journal":{"name":"2013 International Conference on Information Systems and Computer Networks","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122922120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 75

Route planning via facilities with time dependent 有时间依赖性的设施路线规划

2013 International Conference on Information Systems and Computer Networks Pub Date : 2013-03-09 DOI: 10.1109/ICISCON.2013.6524163

P. S. Rathore, A. Chaudhary

引用次数: 2

Using Android platform to detect free fall 利用Android平台检测自由落体

2013 International Conference on Information Systems and Computer Networks Pub Date : 2013-03-01 DOI: 10.1109/ICISCON.2013.6524194

R. Tiwari, Ashutosh Kumar Singh, S. N. Khan

引用次数: 13