An Improved Adapted Genetic Algorithm For Image Segmentation In Real-time

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An Improved Adapted Genetic Algorithm For Image Segmentation In Real-time

Article | 更新时间：2020-08-12

- An Improved Adapted Genetic Algorithm For Image Segmentation In Real-time
- Optics and Precision Engineering Vol. 16, Issue 2, Pages: 333-337(2008)
- 作者机构：
  
  中科院长春光学精密机械与物理研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：18 July 2007，
  
  Revised：06 September 2007，
  
  Published Online：22 February 2008，
  
  Published：22 February 2008
- 稿件说明：
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张怀柱,向长波,宋建中,乔双. 改进的遗传算法在实时图像分割中的应用[J]. 光学精密工程, 2008,16(2):333-337

An Improved Adapted Genetic Algorithm For Image Segmentation In Real-time[J]. Optics and precision engineering, 2008, 16(2): 333-337.
张怀柱,向长波,宋建中,乔双. 改进的遗传算法在实时图像分割中的应用[J]. 光学精密工程, 2008,16(2):333-337 DOI：

An Improved Adapted Genetic Algorithm For Image Segmentation In Real-time[J]. Optics and precision engineering, 2008, 16(2): 333-337. DOI：

摘要

为了自动确定图像分割的最佳阈值，提出了一种改进的自适应遗传算法，并利用该算法对二维Fisher准则图像分割评价函数进行全局优化提高分割阈值的求解速度，快速得到最佳分割阈值。该算法能够根据个体适应度大小和群体的分散程度自动调整遗传控制参数，从而能够在保持群体多样性的同时加快收敛速度，克服了基本遗传算法的收敛性差、易早熟问题。采用TI公司的DSP芯片TMS320VC5416，结合FPGA，搭建了多目标实时测量平台，并利用本文算法对图像阈值快速求解，实现了多目标的实时测量计算。实验结果表明，该算法具有良好的收敛速度和稳定性，阈值计算时间比二维Fisher准则法缩短了18ms(约63%左右)；阈值范围稳定在3个像素以内，能够满足实时多目标测量要求。

Abstract

To determine the optimal threshold in image automatic segmentation

a new thresholding method is proposed. In the method

the genetic algorithm carries on the global optimization to get the threshold rapidly

and the computational method of the crossover probability and mutation probability of the Adapted Genetic Algorithm(AGA) is improved. The improved AGA can guarantee that the multifamily of population and the astringency of the algorithm

and overcom the problems of a poor astringency and a premature occurrence in Simple Genetic Algorithm(SGA). Using the AGA to optimize the 2-D Fisher evaluation function that is taken as a threshold criteria

the best threshold is obtained. Then the image is segmented using this best threshold. Taking the TMS320VC5416 as the core processor

an embedded multi-objects measurement platform is built

and the multi-objects image fast segmentation and real-time measurement are realized in the platform. The experimental results show that the AGA has a good convergence rate and stability

also can not only ensure the accuracy of the image segmentation

but also shortened the time of image segmentation.

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Related Institution

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