光电技术应用, 2019, 34 (2): 46, 网络出版: 2019-05-13
基于遗传算法最大熵值法的毫米波图像分割
MMW Image Segmentation Based on Genetic Algorithm Maximum Entropy Method
摘要
利用遗传算法与最大熵值法相结合的算法对毫米波辐射图像进行处理。通过结合遗传算法改善了最大熵值法运算速度慢的弱点, 实现了毫米波图像的双阈值分割。实验表明通过遗传算法改进的最大熵值法在提高求解最优阈值速度和对分辨率低的毫米波图像实现多目标的同时, 提取效果更加理想。
Abstract
Genetic algorithm and maximum entropy method are used to process millimeter wave (MMW) radiation images. The weakness of slow operation speed of the maximum entropy method is improved and dual-threshold segmentation of MMW images is realized. Experimental results show that the improved maximum entropy method has better effect at improving solving the optimal threshold speed and performing simultaneous multi-targets extraction for low resolution MMW images.
李佩姗, 史春景, 郝永平. 基于遗传算法最大熵值法的毫米波图像分割[J]. 光电技术应用, 2019, 34(2): 46. LI Pei-shan, SHI Chun-jing, HAO Yong-ping. MMW Image Segmentation Based on Genetic Algorithm Maximum Entropy Method[J]. Electro-Optic Technology Application, 2019, 34(2): 46.