| 工业物料识别的一种快速模糊边缘检测算法 |
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| 引用本文： | 程志友,王年,梁栋.工业物料识别的一种快速模糊边缘检测算法[J].安徽大学学报(自然科学版),2003,27(1):65-70. |
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| 作者姓名： | 程志友 王年 梁栋 |
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| 作者单位： | 安徽大学,计算智能与信号处理教育部重点实验室,安徽,合肥,230039 |
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| 基金项目： | 国家自然科学基金;60143003; |
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| 摘 要： | 边缘检测技术是图像处理技术中的一个重要环节,在图像分析和识别等应用领域中有着广泛的应用前景。针对图像边缘由模糊性引起的不确定性问题,笔者在PalKing模糊边缘检测算法的基础上,提出了一种快速模糊边缘检测算法,针对不同的工业物料,确定Tr变换中最佳的隶属度阈值,减少了迭代次数,简化了Pal.King算法中G和G-1运算,实验表明,该算法具有很强的检测模糊边缘和细小边缘的能力,对提高工业物料的识别精度和系统的实时性起到了很好的作用。
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| 关 键 词： | 工业物料 模糊边缘检测 隶属函数 阈值 |
| 文章编号： | 1000-2162(2003)01-0065-06 |
An efficient algorithm of fuzzy edge detection on industrial material auto-recognition |
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| Abstract: | Edge detection is one of the most important techniques in image processing,which is used in the field of image analysis and recognition for many good applications. For image edge there is an uncertain problem cased by fuzziness. In this paper an improved algorithm of fuzzy edge detection by Pal and King is presented. For different industrial material,we identify the best membership function threshold of Tr,and reduce the number of repeat. Predigest the operation of G and G-1 in Pal and King's algorithm. Our experiments show that this algorithm has a strong ability in detecting fuzzy edge and slender edge. It is very useful in improving the recognition precision of industrial material and real-time property of system. |
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| Keywords: | industrial material fuzzy edge detection membership function threshold |
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