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为了解决传统最小二乘支持向量机曲面拟合边缘检测推广性差的问题,提出了一种模糊理论与最小二乘支持向量机相结合的模糊最小二乘支持向量机(Fuzzy Least Squares Support Vector Machines,FLS-SVM)对图像边缘进行检测。结果证明,该算法可以很好的提取图像边缘信息,是一种很有实用价值的图像处理算法。
In order to solve the problem of poor generalization of edge detection by traditional least squares support vector machines, a fuzzy Least Squares Support Vector Machines (LSSVM) based on fuzzy theory and least squares support vector machine FLS-SVM) to detect the edge of the image. The result proves that the algorithm can extract the edge of the image well and is a very useful image processing algorithm.