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作 者:周律[1] 陈正伟[1] 朱建华[1] 刘铁兵[2]
机构地区:[1]浙江科技学院工程实践中心,浙江杭州310023 [2]浙江科技学院中德农产品加工工业研究院,浙江杭州310023
出 处:《实验室研究与探索》2015年第3期146-149,共4页Research and Exploration In Laboratory
基 金:浙江省教育厅科研计划项目(Y201225526)
摘 要:基于显微图像的金标试纸条测试线线宽参数的测量方法具备操作方便、测量速度快、分辨率高等优点,然而图像采集系统采集到的金标试纸条的显微图像不可避免地会发生倾斜,这为后续的图像分割和参数测量带来了困难,因此需要对倾斜的金标试纸条显微图像进行校正。根据霍夫变换法和最小二乘法在直线检测中的优点和适用条件,拟采用一种结合霍夫变换法和最小二乘法的直线检测算法来求得金标试纸条图像的边缘线和边缘线的倾斜角度参数,并采用图像旋转变换算法实现对原图像的倾斜校正。实验表明,所采用的倾斜校正算法具备计算量小、占用内存小、校正精度高的优点,通过倾斜校正可以准确测量倾斜金标试纸图像的线宽参数。The width parameter detection method based on colloidal gold strip microscopic image has lots of merits such as easy operation, high testing speed, and high resolution. However, the colloidal gold strip microscopic image is inevitable slanted by many factors. The slanted image is difficult to be segmented and measured. So it is necessary to rectify the slanted image before it is segmented and measured. According to the advantages of Hough transform method and the least-square method in the line detection, a method combining Hough transform and the least-square is proposed to detect the edge lines of the colloidal gold strip microscopic image and find the angle parameters of the edge lines. Image rotation algorithm is used to rotate the slanted image and get the correction image. Experiments show that the method has high detection precision with less computer memory and shorter calculation time, and the measure result is accurate.
关 键 词:自动化仪器仪表与装置 金标试纸条 图像传感器 显微图像 几何参数测量
分 类 号:TP216.3[自动化与计算机技术—检测技术与自动化装置]
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