Aiming at the edge-detection for a class of objects of irregular shape, such as sunflower seeds, but the traditional Canny algorithm has many shortcomings. This paper proposed three improvements: ① The adaptive high threshold method based on the gradient statistic difference was to overcome the problem that the traditional Canny algorithm might lose part valid edge information when the gray of goals and background in the image had a relatively wide change, which had higher signal-to-noise ratio; ② It proposed an algorithm of extending at the endpoints based on the gradient direction was made up for the defect of getting many interrupted edges after the edge link analysis of traditional Canny algorithm; ③ It proposed regional bounding algorithm based on the longest edge to remove the short edge of background for achieving the precise positioning of goals edges. The results demonstrated that improved Canny algorithm achieved good results in edge-detection of sunflower seeds in high complex background.

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[1] Rafael C Gonzalez,Richard E Woods.数字图像处理[M].阮秋琦,阮宇智,译.第3版.北京:电子工业出版社,2011:443~467.
[2] 李旭,王正勇,吴晓红,等.一种改进非极大值抑制的Canny边缘检测算法[J].成都信息工程学院学报,2011, 26(5):564~569.
[3] 曾俊.图像边缘检测技术及其应用研究[D].武汉:华中科技大学,2011.
[4] 周林妹.数字图像边缘检测算法及其在农产品加工中的应用[J].食品与机械,2009,25(3):139~140.
[5] Zhang Xiao-feng,Zhang Yu,Zheng Ran.Image edge detection method of combining wavelet lift with Canny operator[J].Procedia Technology,2011(15):1 335~1 339.
[6] 张帆,彭中伟,蒙水金.基于自适应阀值的改进Canny边缘检测方法[J].计算机应用,2012,32(8):2 296~2 298.
[7] 薛丽霞,李涛,王佐成.一种自适应的Canny边缘检测算法[J].计算机应用研究,2010,27(9):3 588~3 590.
[8] 徐光宝,姜东焕.自适应多尺度Canny边缘检测[J].山东建筑大学学报,2006, 21(4):360~363.
[9] Ranita Biswas,Jaya Sil.An improved canny edge detection algorithm based on type-2 fuzzy sets[J].Procedia Technology,2012(4):820~824.
[10] 吕哲,王福利,常玉清.一种改进的Canny边缘检测算法[J].东北大学学报(自然科学版),2007,28(12):1 681~1 684.
[11] 王小华,钱月晶.一种改进的Canny边缘检测算法[J].机电工程,2008,25(12):60~63.
[12] 周晓明,马秋禾,肖蓉,等.一种改进的Canny算子边缘检测算法[J].测绘工程,2008,17(1):28~31.
[13] 周同.基于改进Canny边缘检测算子的电子稳像算法研究[D].苏州:苏州大学,2010.
[14] 王卫翼,张秋菊.基于机器视觉的虫蚀葵花籽识别与分选系统[J].食品与机械,2014,30(2):109~113.
[15] 张玲艳.基于Canny理论的自适应边缘检测方法研究[D].西安:西北工业大学,2009.
[16] 李昊,傅曦.指纹模式识别系统算法及实现[M].北京:人民邮电出版社,2008:126~133.



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