节点文献
形状自由可调的隶属函数及其模糊图像增强应用
A New Method of Adjusting Freely Shape of Fuzzy Membership Function and Its Application to Enhancing Image Better
【摘要】 借助非均匀有理B样条在自由曲线设计方面的优势,给出了一种能够根据实际需要设计生成模糊隶属度函数的新方法。利用该方法生成了目前常用的5种类型模糊隶属函数,最后以设计生成模糊图像增强算法中的"S"型隶属度函数为例说明了新方法的便易和有效性。
【Abstract】 Section 3 of the full paper applies the powerful NURBS(Non-Uniform Rational B-Spline) method to adjusting freely the shape of each of the five types of membership function:(1) exponential,(2) S-shape,(3) tangential,(4) trapezoidal,(5) Gaussian.Figs.1 through 5 of the full paper,giving the results of application corresponding respectively to the five types of membership function,show that our new method does succeed in achieving free adjustment.Section 4 applies the S-shape membership function to image enhancement.Fig.7 compares the image enhancement obtained with S-shape membership function by our new method with those obtained by previous methods;the comparison shows preliminarily that our new method enhances image better.
【Key words】 image enhancement; fuzzy membership function; Non-Uniform Rational B-Spline(NURBS) curve;
- 【文献出处】 西北工业大学学报 ,Journal of Northwestern Polytechnical University , 编辑部邮箱 ,2009年03期
- 【分类号】TP391.41
- 【被引频次】8
- 【下载频次】215