融合梯度幅值和置信度的鸡蛋裂纹图像检测  

Image detection of eggshell crack with gradient magnitude and confidence measure

作　　者：吴兰兰[1] 王巧华[1] 祝志慧[1] 王树才[1] 熊利荣[1] WU Lanlan WANG Qiaohua ZHU Zhihui WANG Shucai XIONG Lirong(College of Engineering,Huazhong Agricultural University,Wuhan 430070, Chin)

机构地区：[1]华中农业大学工学院,武汉430070

出　　处：《华中农业大学学报》2016年第6期136-141,共6页Journal of Huazhong Agricultural University

基　　金：国家自然科学基金项目(31371771)

摘　　要：提出一种融合梯度幅值和置信度的鸡蛋裂纹检测新方法。采集褐壳鸡蛋的裂纹图像,运用提及边缘检测算法获取感兴趣区域图像,采用最大边界算法挑选边界轮廓,融合二者获取裂纹区域图像。对3种典型鸡蛋裂纹图像进行边缘检测新方法与传统边缘检测算子(Log算子、Sobel算子及Canny算子)对比试验,结果表明:融合梯度幅值和置信度的鸡蛋裂纹检测新方法能够克服固定阈值适应性较差的缺陷,提高检测准确率,在消除噪声、增强弱边缘信息方面优于传统边缘检测算子。A novel detection method combining gradient magnitude with confidence measure was established to detect eggshell crack. Images of brown eggshell crack were acquired to obtain ROI edge map using the edge detector proposed. Then, images of the boundary of brown eggs were extracted with a maximum margin algorithm. Finally, crack images were extracted with reference to edge map and images of the boundary of eggs. Three typical images of eggshell crack were analyzed and compared among the improved edge detection algorithm and traditional edge detectors including log operator, sobel operator and canny operator. The results showed that the established method overcame the adverse effect brought from the fixed threshold and had a better performance with an advantage over the traditional edge detectors in effectively suppressing the influence of the noise and detecting weak edges.

关 键 词：蛋壳裂纹 置信度 算子 梯度幅值 磁滞阈值 非极大抑制 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]