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最近要做一个课题报告,不知道文章是否被检索了,求各位帮帮忙~ 1)A novel model based on LBP and Meanshift for UAV Image Segmentation 2)A comparative study of image segmentation Based on the Improved Meanshift software with Edison |
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A Novel Model Based on LBP and Meanshift for UAV Image Segmentation 作者 eng Hou; Jingwen Xu; Junfang Zhao; Xin Zhan; Ge FanApplied Mechanics and Materials 卷: 701-702 页: 270-3 DOI: 10.4028/www.scientific.net/AMM.701-702.270 出版年: 2015 摘要 This paper propose a hybrid model which combine LBP and Meanshift for unmanned aerial vehicle image segmentation. In order to take full advantage of UAV image,The segmentation start with the over-segmentation regions,where the image divided into many regions by Mean shift. Then the small regions are merge with their neighbors by the hybrid distance with spectral, spatial and LBP histogram. 作者信息 作者地址: Peng Hou; Jingwen Xu; Xin Zhan; Ge Fan; Coll. of Resources & Environ., Sichuan Agric. Univ., Chengdu, China. Junfang Zhao; Chinese Acad. of Meteorol. Sci., Beijing, China. 出版商 Trans Tech Publications, Switzerland 类别 / 分类 研究方向:Communication; Computer Science; Automation & Control Systems; Robotics; Engineering (由 Thomson Reuters 提供) 国际专利分类:G05D1/00 Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot; G06T Image data processing or generation, in general 分类代码:B6135 Optical, image and video signal processing; C5260B Computer vision and image processing techniques; C3390T Telerobotics; C3390C Mobile robots; C3360L Aerospace control 受控索引:autonomous aerial vehicles; image segmentation; robot vision; spectral analysis 非受控索引:LBP histogram; spatial histogram; spectral histogram; hybrid distance; over-segmentation regions; unmanned aerial vehicle image segmentation; hybrid model; UAV image segmentation; meanshift 文献信息 文献类型:Journal Paper 语种:English 入藏号:INSPEC:15354318 ISSN:1660-9336 参考文献数:9 其他信息 处理类型 ractical |

2楼2016-06-24 10:19:20
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ln_look: 金币+50, ★★★★★最佳答案 2016-06-25 20:15:10
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A Comparative Study of Image Segmentation Based on the Improved Meanshift Software with Edison 作者:Ning Li; Jingwen Xu; Junfang Zhao; Yudan Zhao; Peng Hou Applied Mechanics and Materials 卷: 701-702 页: 253-6 DOI: 10.4028/www.scientific.net/AMM.701-702.253 出版年: 2015 摘要 Image segmentation is the technique and the process to separate the image into regions which have different characteristics and extract the interested objects from the image. Meanwhile, image segmentation is a vital important issue in many fields such as image processing, pattern recognition and artificial intelligence and it has wide application in various fields. This paper performs a great deal of contrastive analysis experiments on a series of images by using improved meanshift software and Edison software. The results show that improved meanshift software is easier to segment clearly than Edison in terms of similar color; the improved meanshift software segmentation is smoother than Edison in image shadow, the segmentation results hold favorable consistency in terms of human perception; the improved meanshift software segmentation is clearer than Edison in texture segmentation such as vegetation. The improved meanshift software has a better effect on the segmentation of boundary, road, etc. Both of them can remove the noise points effectively, but improved meanshift software is more sensitive to brightness; while the Edison software has a faster speed compared to the improved meanshift software. 作者信息 作者地址: Ning Li; Jingwen Xu; Yudan Zhao; Peng Hou; Coll. of Resources & Environ., Sichuan Agric. Univ., Chengdu, China. Junfang Zhao; Chinese Acad. of Meteorol. Sci., Beijing, China. 出版商 Trans Tech Publications, Switzerland 类别 / 分类 研究方向:Communication; Computer Science (由 Thomson Reuters 提供) 国际专利分类:G06T Image data processing or generation, in general; G06T7/40 Analysis of texture 分类代码:B6135E Image recognition; C5260B Computer vision and image processing techniques; C6130B Graphics techniques 受控索引:feature extraction; image segmentation; image texture 非受控索引:image segmentation; image processing; pattern recognition; artificial intelligence; Edison software; image shadow; mean shift software segmentation; texture segmentation 文献信息 文献类型:Journal Paper 语种:English 入藏号:INSPEC:15354315 ISSN:1660-9336 参考文献数:7 其他信息 处理类型 ractical |

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eng Hou; Jingwen Xu; Junfang Zhao; Xin Zhan; Ge Fan