煤灰熔融性图像自动识别算法的研究  

Research on the image auto-recognition algorithm for the fusibility of coal ash

作　　者：潘钧[1] 沈洁[1] 胡学龙[1] 张正华[1] 

机构地区：[1]扬州大学信息工程学院,扬州225009

出　　处：《国外电子测量技术》2008年第10期1-3,共3页Foreign Electronic Measurement Technology

摘　　要：本文提出了一种测定煤灰熔融性时图像的自动识别的算法。根据模式识别和计算机视觉理论,首先从CCD摄像机处采集图像,经过预处理后,采用阈值迭代和Otsu分割算法相结合的单阈值法进行图像分割,在定位灰锥目标区域后,进一步提取高度、底宽和面积等几何特征,作为特征温度图像的识别依据。实验表明,该算法简单、有效,且能兼顾系统的实时性和准确性要求。An image auto-recognition algorithm for determining the fusibility of coat ash is proposed in this paper. According to the theory of pattern recognition and computer vision, first images are gotten from the CCD photography. After being preprocessed, image segmentation is applied by using threshold iteration algorithm and Otsu segmentation algorithm. Then it is possible to extract the height, width and area as the geometric features exactly after locating the object region,which is used to recognize the four feature temperature images. The experiment shows that this algorithm is both easy and effective, and it can also meet the requirements of real-time and accuracy.

关 键 词：煤灰熔融性 图像分割 特征提取 图像识别 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程]