摘要
由于图形图像本身受噪声、偏移场效应和局部体效应等的影响,使得传统的分割算法远未达到理想的效果。为解决上述问题,提出基于改进遗传算法的图像分割方法。首先在遵循图形图像数据完整性、一致性与大小适度的情况下确定分割区域,并依据相关原理选择合适的分割属性,根据改进遗传算法构建分割算法模型,获取最佳的分割策略。实验结果表明,改进的分割算法,不但保证了分割区域的完整性,界域也较为清晰。
Because of the influence of image noise、migration and the local,the traditional segmentation algorithm is far from the ideal result.Based on the improved genetic algorithm to the image segmentation.First of all to meet image data completeness,consistency,and segmentation region data under the case of moderate size,and according to the relevant principles to choose the appropriate segmentation properties,based on the improved genetic algorithm to build the model of segmentation algorithm,get the best segmentation strategy.The experimental results show that the improved segmentation method is not only to ensure the integrity of the segmented region,bounded domain is also more clear.
出处
《电脑知识与技术》
2016年第5X期193-195,共3页
Computer Knowledge and Technology
关键词
图形图像
分割
区域选择
遗传算法
Image
Segmentation
Component selection
Genetic algorithm