基于遗传算法的图像分割的研究  

Image Segmentation Based on Genetic Algorithm

作　　者：陈杰[1] 阜艳[1] 

机构地区：[1]广东科学技术职业学院,广东广州510640

出　　处：《现代电子技术》2010年第14期42-44,共3页Modern Electronics Technique

基　　金：2009年广东省科技计划项目(2009A030200016)

摘　　要：遗传算法是对生物进化论中自然选择和遗传学机理中生物进化过程的模拟来计算最优解的方法。遗传算法具有众多的优点,如鲁棒性、并行性、自适应性和快速收敛,可以应用在图像处理技术领域中图像分割技术来确定分割阈值。图像分割是图像处理技术的研究对象之一,它对于图像特征提取、图像识别等图像处理技术等有着重要意义。主要研究基于遗传算法的图像分割效果,采用Matlab软件进行仿真实验,对不同图像分割算法的效果进行比较。实验表明,遗传算法是处理图像分割的优秀算法,图像分割效果相比于传统的图像分割算法更加优秀。Genetic algorithm is an optimal solution method of using natural selection in biological evolution and biological evolution in genetic mechanism. Genetic algorithm has many advantages such as robustness, parallel, adaptive, and fast con- vergence, can be used in the field of image processing to determine the threshold value. Image segmentation is one of the ob- jects of image processing, it is meaningful to the image feature extraction, image recognition and other image processing tech- nologies. The image segmentation effect based on genetic algorithm of using MATLAB software to simulate the different image segmentation algorithms and compare the result. Experiments indicate that the genetic algorithm is outstanding to deal with the image segmentation ,the results is more outstanding than traditional image segmentation algorithm.

关 键 词：图像分割 阈值计算 遗传算法 图像特征 

分 类 号：TP919.8[自动化与计算机技术]