摘要
提出了一种基于互信息的改进匹配算法,将灰度图像互信息匹配算法扩展到二值化图像匹配领域,保留了原灰度图像的信息量,该算法的执行速度与源图及模板大小无关,仅与二值化后的源图和模板的前景点个数成线性关系。在GPU上的运算结果表明,该算法定位结果可信度高,速度快,可以有效克服图像中存在的遮挡、噪声、形变、旋转、缩放、光照变化等问题,能够满足实时焊缝跟踪应用的需要。
In the thesis,it was proposed a improved matching algorithm based on mutual-information,which expanded grayscale image mutual-information matching algorithm to the field of binary image matching while retaining the information amount of the original grayscale image. Its execution speed didn’t relate with the size of the source graphic or template,but only form linear relation with the binarized source image and the sum of front ground spots of the template. The calculated results by GPU showed that the location result of this algorithm was high in reliability and quick in speed,the problems as in the images,like occlusion,noise,deformation,rotation,zoom and illumination change in the image could be effectively overcome,meeting the requirements for real-time seam tracking application.
出处
《焊接技术》
北大核心
2010年第10期46-49,共4页
Welding Technology
基金
河南省杰出青年科学基金(0612002200)
河南省重点科技攻关项目(0623021600)
