CAJ | 학술논문

图像拼接技术主要包括图像匹配和图像融合，根据大米检测系统获取图像的特性，在块模板匹配算法基础上提出了一种改进的块模板匹配算法．并通过大米图像实例把两种算法进行了比较分析，实验结果表明改进的块模板匹配算法效率更高，匹配效果更好．采用了最为常用的加权平均法中的渐入渐出的图像融合算法．
도상병접기술주요포괄도상필배화도상융합，근거대미검측계통획취도상적특성，재괴모판필배산법기출상제출료일충개진적괴모판필배산법．병통과대미도상실례파량충산법진행료비교분석，실험결과표명개진적괴모판필배산법효솔경고，필배효과경호．채용료최위상용적가권평균법중적점입점출적도상융합산법．
Image stitching technology includes image matching and image fusion. Acording to the image fea- tures of the rice detection system, this paper proposes an improved block template matching algorithm based on block template matching algorithm. Two algorithms are compared and analysed by the instance of rice image. Experimental results show that the improved block template matching algorithm is more effi- cient and better. In this paper, The gradually in and gradually out image fusion algorithm from weighted average algorithm is used.