基于量子免疫规划的图像分割算法
Image Segmentation Algorithm Based on Quantum Immune Programming
将量子理论引入到免疫规划中，结合人工免疫系统的克隆选择和免疫机制，提出了一种新型的进化算法——量子免疫规划。并基于阈值分割原理，将量子免疫规划应用到灰度图像分割的阈值选取当中。对测试图像的仿真试验表明，该算法具有快速进化寻优性能。
quantum immune programming is presented by combining quantum theory with the clonal selection and immune mechanism in artificial immune system. Based on the thresholding image segmentation principle, the quantum immune programming is applied in the optimization of threshold value of grey image segmentation. The simulation of testing image segmentation proves its superiority.
毕晓君、金桂芳
计算技术、计算机技术
免疫规划量子计算图像分割
immune programmingquantum algorithmimage segmentation
毕晓君,金桂芳.基于量子免疫规划的图像分割算法[EB/OL].(2007-01-16)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/200701-196.点此复制
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