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为了提高边缘检测算法的效率和精细度,对Pal.King模糊边缘检测算法进行分析,提出了一种新的模糊边缘检测算法。该算法重新定义了隶属度函数,简化了复杂的变换运算,而且提出了确定模糊增强变换中最佳隶属度阈值的算法。仿真结果表明,该算法提高了整个图像识别系统的效率,而且提取的边缘比较精细。通过对PalKing算法的分析,提出的新算法弥补了PalKing算法的不足,并且具有较好的边缘检测及轮廓提取效果。
In order to improve the efficiency and fineness of the edge detection algorithm, this paper analyzes the Pal.king fuzzy edge detection algorithm and proposes a new fuzzy edge detection algorithm. The algorithm redefines the membership function, simplifies the complex transformation operations, and proposes an algorithm to determine the optimal membership threshold in the fuzzy enhancement transformation. Simulation results show that the proposed algorithm improves the efficiency of the whole image recognition system and the edge of the extracted image is more precise. Through the analysis of the PalKing algorithm, the proposed algorithm makes up for the lack of PalKing algorithm, and has good edge detection and contour extraction.