摘要
为了解决当前文档图像场景变换随机性较强,存在目标边缘检测和图形转换不准确的问题,导致图像校正质量较低的不足,分别从霍夫直线检测与二维透视变换的角度出发,提出了基于霍夫直线检测与二维透视变换的文档图像校正恢复技术。首先,根据聚类分割与形态学处理,得到包含文档目标在内的二值图像,达到去除噪声干扰的目的。然后,基于霍夫直线检测,计算文档边缘直线坐标,耦合二值图像目标轮廓,建立文档直线检测算子。最后,综合平移变换、仿射变换和刚体变换,构建二维透视变换矩阵,重新分配图像坐标,达到图像校正转换的目的。实验测试结果显示,与当前图像校正机制相比,校正技术拥有更高的图像恢复质量与抗干扰性。所提算法具有理想的校正恢复质量,在二维码识别等领域具有重要应用价值。
I In order to solve the current document image transform are random, document object edge detection and pattern transfer accuracy problem, leading to poor document image scanning, this paper from the perspective transformation of Hof line detection and two dimensional point of view, the author presents a document image and two- dimensional scanning Hof line detection based on perspective transformation. First of all, according to the clustering segmentation and morphological processing, we get the two value image which contains the target of the document. Then, based on the linear detection of Hof, the linear coordinates of the document edges are calculated, and the contour of the two value image is coupled. Finally, the transformation matrix, the affine transformation and the rigid body transformation are used to construct the two-dimensional perspective transformation matrix, and then the image coordinates are redistributed to achieve the purpose of image correction and conversion. The experimental results show that compared with the current scanning mechanism, this paper has a higher accuracy and anti-jamming performance. The proposed algorithm has good correction and recovery quality, and has important application value in the field of two-dimensional code recognition.
作者
田文利
Tian Wenli(Shanxi Vocational College of Finance and Economics, Xianyang 712000, China)
出处
《电子测量技术》
2017年第9期128-131,共4页
Electronic Measurement Technology
关键词
目标边缘检测
图像校正
霍夫直线检测
二维透视变换
刚体变换
target edge detection
image scanning
hough line detection
two-dimensional perspective transformation
rigid body transformation
