摘要
针对灰度图像的Kirsch边缘检测特征不明显以及Otsu方法自动获取最佳阈值耗时等缺点,探讨了一种改进的Otsu法,并将其应用到Kirsch边缘检测中。首先通过Kirsch算法初步检测出图像边缘,然后运用蚁群算法与Otsu算法相结合求取最佳阈值并进行二值化处理。对试验结果和数据的分析,得出所提出的方法能够有效地检测出图像边缘,同时节约运算时间,具有一定的自适应性。
Aim to solve shortcomings of the Kirsch edge features of the gray image is not obvious and the Otsu method is time- consuming while it is used to access to the best threshold automatic. This paper presents an application of an improved Otsu method in the Kirsch edge detection. Firstly, it uses the algorithm of Kirsch to detect the edge of the image. Then it calculates the best threshold through the combination of Ant Colony algorithm and the Otsu method and execute binary processing. The method is experimentally verified which can detect the image edge effectively and can save the calculation time and also have a certain degree of adaptability.
出处
《计算机与数字工程》
2009年第3期167-171,共5页
Computer & Digital Engineering
基金
国家自然科学基金项目(编号:50675161)资助
青年科学基金项目(编号:60705035)资助
