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文章题目:A comparative study of image segmentation Based on the Improved Meanshift software with Edison

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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

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