数字图像处理技术在棒材计数中的应用  

Application of Digital Image Processing in Bar Steel Count

作　　者：李邦明[1] 刘中合[1] 王瑞雪[1] 马长青[2] 刘贤喜[1] 

机构地区：[1]山东农业大学机械与电子工程学院,山东泰安271018 [2]山东科技大学信息科学与工程学院,山东泰安271000

出　　处：《农业装备与车辆工程》2006年第3期44-46,共3页Agricultural Equipment & Vehicle Engineering

摘　　要：利用数码相机获取棒材端面的图像,通过对图像格式转化、灰度化处理得到灰度图像,再进行平滑处理抑制噪声、锐化处理突出目标、选择合适的阈值转换为二值图像,然后进行形态学腐蚀操作去掉棒材之间的粘连,最终得到分割效果较好的图像,为后续棒材的计数奠定了基础。The end image of bar steel is captured by numeral camera, and through format transforms, gradation processing to the image, colorized JPEG image is transferred into gray level BMP images, and noise is reduced by smooth processing, and goal is prominent by peaked processing , and gray level image is transferred into binary image by adequate threshold, and then by means of mathematical morphology corrosion operating, the image can be partitioned into no overlapping regions, and then we can obtain a division effect better picture. What we do establishes the foundation for bar steel count.

关 键 词：图像处理 棒材 计数 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]