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基于三边长度的三角形识别方法研究
首发时间：2023-11-24
摘要：为了发展一种可靠且高效的三角形识别方法，以提高图像处理和计算机视觉领域对三角形形状的准确度，而且为了使三角形类型模糊模式识别系统更加全面完善。通过对三边长度进行深入分析，基于高斯隶属函数和柯西隶属函数，构造出关于三角形三边长的新型隶属函数，通过对实际问题实验验证，该隶属函数取得了令人满意的三角形识别性能。并且准确度达到了理想预期标准，表明该方法对于三角形形状的识别具有较高的可靠性。此方法为提高计算机视觉系统中对复杂几何形状的自动识别能力提供了有益的参考。未来的工作可以进一步优化算法，并考虑在实际应用中的扩展和改进。
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research on triangle recognition method based on lengths of three sides
abstract：in order to develop a reliable and efficient method for triangle recognition, to improve the accuracy of triangle shape in the field of image processing and computer vision, and to make the fuzzy pattern recognition system of triangle types more comprehensive, a new type of membership function based on the gaussian membership function and the cauchy membership function is constructed through in-depth analysis of the lengths of the three sides of the triangle. through experimental verification of practical problems, this membership function has achieved satisfactory performance in triangle recognition. the accuracy has reached the desired standard, indicating that this method has high reliability in recognizing triangle shapes. this method provides valuable reference for improving the automatic recognition capability of complex geometric shapes in computer vision systems. future work can further optimize the algorithm and consider its extension and improvement in practical applications.
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