论文:2017,Vol:35,Issue(6):1112-1118
引用本文:
王洪申, 张翔宇, 豆永坤, 张树生. 基于图像重构的图像边缘检测效果评价算法[J]. 西北工业大学学报
Wang Hongshen, Zhang Xiangyu, Dou Yongkun, Zhang Shusheng. An Image Edge Detection Effects Evaluation Algorithm Based on Image Reconstruction[J]. Northwestern polytechnical university

基于图像重构的图像边缘检测效果评价算法
王洪申1, 张翔宇1, 豆永坤1, 张树生2
1. 兰州理工大学 机电工程学院, 甘肃 兰州 730050;
2. 西北工业大学 现代设计与集成制造技术教育部重点实验室, 陕西 西安 710072
摘要:
边缘检测是图像处理的一个核心步骤,其检测效果直接决定图像处理的质量,但对于图像边缘检测一直缺乏量化的标准评价方式。文章提出了一种用边缘图像重构源图像的算法,横纵多方向搜索重构源集,以线性插值与渐变插值混合重构新像素,用重构图像与源图像的相似性评价边缘检测效果。设计了多种实验,对重构算法的性能与效果进行验证。实验结果表明,文中所构造算法能快速、有效地以边缘图像重构源图像,且可有效评价边缘检测效果。重构结果与评价结果符合人的视觉感知,对于高层次的图像处理与自动化图像处理具有较好的应用价值。
关键词:    边缘检测    边缘检测评价    图像重构   
An Image Edge Detection Effects Evaluation Algorithm Based on Image Reconstruction
Wang Hongshen1, Zhang Xiangyu1, Dou Yongkun1, Zhang Shusheng2
1. School of Mechanical & Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
2. The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology for Ministry of Education at Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
Image edge detection is a core step in image processing.The edge detection results directly affect the image detection results,but there is lacking a standard numerical evaluation measure of the edge detection results. Hence, this paper proposes an algorithm for reconstructing the original image with an edge image. The algorithm searches the pixels of the original image in latitudinal and longitudinal directions and then reconstructs new pixels by linear interpolation and gradient interpolation between new and original pixels.Finally it evaluates the edge detection effects with the reconstructed similarity between new and original images. The experimental results show that the algorithm can quickly and effectively reconstruct the original image with the edge image and can effectively evaluate the edge detection effects. The image reconstruction results and evaluation results conform to human visual perception. Therefore the algorithm is applicable to high-level and automatic image processing.
Key words:    edge detection    edge detection effects evaluation    image reconstruction   
收稿日期: 2017-02-08     修回日期:
DOI:
基金项目: 国家自然科学基金(61640207、61262045)及甘肃省财政厅基金资助
通讯作者:     Email:
作者简介: 王洪申(1969-),兰州理工大学教授、博士,主要从事计算机图形学及CAD研究。
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