玻璃碎片图像的边缘检测  

Edge detection in glass fragmentation image

作　　者：周雪芹[1] 刘晓红[1] 

机构地区：[1]山东理工大学计算机科学与技术学院,山东淄博255049

出　　处：《计算机应用》2005年第9期2146-2147,2162,共3页journal of Computer Applications

摘　　要：根据玻璃碎片图像的特点,首先去噪、用传统的边缘检测算子检测边缘,并进行阈值分割,生成了初始的二值分割;然后通过求距离函数并对其进行重建、倒置;最后执行基于链码的分水岭变换算法得到一个完整的玻璃碎片分割图,可用来统计出分割块数和进行后续分析。Based on the characteristics of glass fragmentation images, a process was proposed. It first combined noise reduction, a traditional edge-detection operator, and threshold segmentation to produce an initial binary image partition, Then it applied the distance function to reconstruct and inverse it. Finally it used the watershed transformation based on chain code to obtain the whole segmentation image of fragmented glass. The final image can be used in testing safety glasses, for example to analyze and count the number of fragments.

关 键 词：距离函数 灰度重建 边缘检测 图像分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]