题名 | An Improvement of the Canny Edge Based Image Expansion Algorithm |
作者 | |
通讯作者 | Shi, Hongjian |
DOI | |
发表日期 | 2017
|
ISBN | 978-1-5386-1938-4
|
会议录名称 | |
卷号 | 2018-January
|
页码 | 1-5
|
会议日期 | 14-16 Oct. 2017
|
会议地点 | Shanghai, China
|
出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA
|
出版者 | |
摘要 | In this paper, an improvement of the Canny edge-based image expansion algorithm is proposed. Our new expansion algorithm preserves the edges of an object. It generates the higher contrast and sharper images through modification of the neighborhood pixel values of the edges. In this method, we define two cases according to the orientations of the edges. In any diagonal orientation, we define two new operators to determine whether the diagonal direction is the left or right diagonal. For different cases, we propose different functions to process the neighborhood pixel values of the edges. Finally, we compare the expansion results and analyze the resulted image contrasts from different expansion algorithms. Our proposed expansion method generates higher contrast and less blurring and zigzag images with crisper appearances. |
关键词 | |
学校署名 | 第一
; 通讯
|
语种 | 英语
|
相关链接 | [来源记录] |
收录类别 | |
WOS研究方向 | Engineering
; Imaging Science & Photographic Technology
|
WOS类目 | Engineering, Biomedical
; Engineering, Electrical & Electronic
; Imaging Science & Photographic Technology
|
WOS记录号 | WOS:000464407100147
|
EI入藏号 | 20182205255664
|
EI主题词 | Biomedical engineering
; Crystal orientation
; Image enhancement
; Pixels
|
EI分类号 | Biomedical Engineering:461.1
; Crystal Lattice:933.1.1
|
来源库 | Web of Science
|
全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8302046 |
引用统计 |
被引频次[WOS]:0
|
成果类型 | 会议论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/24744 |
专题 | 工学院_电子与电气工程系 |
作者单位 | Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Guangdong, Peoples R China |
第一作者单位 | 电子与电气工程系 |
通讯作者单位 | 电子与电气工程系 |
第一作者的第一单位 | 电子与电气工程系 |
推荐引用方式 GB/T 7714 |
Zhang, Songze,Shi, Hongjian. An Improvement of the Canny Edge Based Image Expansion Algorithm[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017:1-5.
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条目包含的文件 | 条目无相关文件。 |
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