Method of extracting image geometric primitives based on immune algorithm

Zhi Jun, Liu Jian-yong, Fu Cheng-qun
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Abstract

The paper draws lessons from the ripe tolerance course and clone selection course of immune cell and introduces immune algorithm (IA) to the problem of extracting geometric primitives. It makes a detailed instruction of the method implementation based on IA which takes ellipse extraction as an example. The compared experiment and analyses with RHT and SGA algorithm proves that the method has quick convergent speed and strong anti-interference ability when there are more noises. The ellipse extraction of the image shows the extensive suitability and practical value of the algorithm.
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基于免疫算法的图像几何基元提取方法
借鉴免疫细胞成熟耐受过程和克隆选择过程,将免疫算法引入几何基元提取问题。以椭圆提取为例,详细说明了基于IA的方法实现。通过与RHT算法和SGA算法的对比实验和分析,证明了该方法在噪声较大时收敛速度快,抗干扰能力强。对图像的椭圆提取表明了该算法的广泛适用性和实用价值。
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