摘要
由于钢厂车间环境的复杂性对钢包标牌的实时检测和识别提出了较高的要求。为了实现对钢包的实时和动态跟踪,提出了一种基于HSV色彩空间信息的图像分割方法,根据HSV色彩空间的颜色和亮度无关性,将彩色图像从RGB空间变换到HSV空间。基于颜色和形状特征选取原则对标牌区域进行粗定位,再使用最小二乘直线拟合的方法检测标牌边框的倾斜角度,对标牌进行倾斜校正。实验表明,该方法能准确地进行标牌定位与倾斜校正,具有较高的可靠性与稳定性。
The complexity of the steel plant environment leads to high requirements for real-time detection and identification of ladle license plate. An image segmentation method based on the HSV color space information is proposed for real-time detection and dynamic tracking. According to the HSV color space,regardless of the relation of brightness and color,the color image is converted from RGB space to HSV space. We can locate the position of the ladle license plate according to feature selection principles based on color and shape of the numeral cards,and the lean angle of image is found out according to the method of linear least squares fitting. Then the original oblique image can be adjusted by using the method of rotate transformation. Experiments show that the method can locate the Ladle license plate and correct tilt with high reliability and stability.
出处
《电子科技》
2016年第1期94-97,101,共5页
Electronic Science and Technology
