摘要
源于设计类App中图像识别技术的研究,结合图像的颜色、纹理、形状、空间关系特征,分别构造了4个特征矩阵将图片特征信息二值化,把图像识别中搜索匹配问题转化为一类线性矩阵方程计算问题。结合修正共轭梯度算法创建求这类线性矩阵方阵的迭代算法,解决了设计类App中图像搜索近似匹配问题。
Based on the research of image recognition technology in design class APP,four feature matrices were constructed to binarize the image feature information,combining the color,texture,shape and spatial relationship features of the image.The search and matching problem in image recognition is transformed into a linear matrix equation calculation problem.An iterative algorithm for solving such linear matrix matrices is established by combining the modified conjugate gradient algorithm,which solves the approximate matching problem of image search in design class APP.
作者
张婷
ZHANG Ting(College of Applied Technology,Fujian University of Technology,Fuzhou 350001,Fujian Province)
出处
《沈阳工程学院学报（自然科学版）》
2020年第1期69-74,共6页
Journal of Shenyang Institute of Engineering:Natural Science
基金
福建省十三五规划办重点课题(FJJKCGZ17-070)
关键词
图像识别
线性矩阵方程
修正共轭梯度法
近似匹配
Image recognition
Linear matrix equation
Modified conjugate gradient method
Approximate matching
