基于混沌遗传算法的基元提取
Geometric Prim itive Extraction Using ChaosGenetic Algorithm
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摘要: 提出了一种直接在灰度图像上进行基元提取的方法.与传统基元提取方法相比,该方法不需对灰度图像 进行边缘检测二值化处理,而是利用图像边缘的梯度信息对混沌遗传算法导向,直接在灰度图像上提取基元.同 时,该方法也避免了Hough变换高的时空开销问题.仿真表明该方法方便、有效并具有较高稳定性.Abstract: A chaosgenetic algorithm wasproposed to extractgeometric primitivesdirectly from original images. Comparedwith the traditionalgeometric primitive extraction, this algorithm needs notdo edge detection before geometric primitive extraction. Instead, it directly searches for geometric primitives from an original grey image based on the gradient information. Additionally, this algorithm reduces time and space consumption compared with Hough transform. Simulations show that this method is simple, efficient and reasonably robust.
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