摘要
针对相变热图中相变线的提取问题,提出一种新的序列图像分割方法.把原图像序列变换成一组具有关联关系的合成图像,并用合成图像的分割实现相变线的提取.为了消除模型表面的镜面反射取得满足一致性要求的结果,建立特征图像表面的光照模型,并利用协调优化方法获取镜面反射方程的参数.然后采用动态规划得到最优分割结果.该方法能有效消除镜面反射、减小计算量且提高算法的抗干扰能力.通过实例计算得到合理结果,表明该方法的有效性.
A new segmentation method of image sequence is proposed to get the isotherm from phasechange thermography sequence. The original phase-change thermography sequence is transformed into a series of relative synthesized images by compression and conversion. The final isotherms are extracted from the segmentation of synthesized images. To remove the specular reflection and get the results which meet the need of similarity , the illumination model is formulated and the parameters are obtained by coordination-optimization. Then the dynamic programming algorithm is employed to get the optimal segmentation. The proposed method could not only remove the specular reflection of the characteristic images, but also reduce the computational complexity. Moreover, it augments the robustness of the algorithm. The eventual results are rational and they could also demonstrate the efficiency of the proposed method.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2007年第4期469-477,共9页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金(No.60475023)
教育部博士点基金(No.20050698032)
关键词
相变热图
图像分割
镜面反射
协调分割
Phase-Change Thermography' Image Segmentation, Specular Reflection, CoordinationSegmentation