摘要
目前,计算机视觉技术进行视觉测量、目标检测时,存在准确度和运算效率低的问题。因此,本文提出人工智能的计算机视觉分析。选择互补金属氧化物半导体(Complementary Metal Oxide Semiconductor,CMOS)图像传感器与发光二极管(Light Emitting Diode,LED)光源共同采集图像;面对图像采集时出现的质量降低问题,引入欧式变换模型变化图像坐标、邻居平均滤波两种算法去除图像噪声,并在此基础上进行标准化图像处理;选择人工智能技术中的机器学习设计计算机视觉技术算法,实现基于人工智能的计算机视觉技术。实验结果:此次研究技术具有较高的视觉测量和目标检测准确率和效率。
At present, computer vision technology has the problems of low accuracy and operation efficiency in visual measurement and target detection. Therefore, this paper proposes to analyze the computer vision of artificial intelligence. Select a Complementary Metal Oxide Semiconductor(CMOS) image sensor and a Light Emitting Diode(LED) light source to collect images together;Facing the problem of quality degradation in image acquisition, two algorithms, Euclidean transformation model changing image coordinates and neighbor average filtering, are introduced to remove image noise, and standardized image processing is carried out on this basis;Select machine learning in artificial intelligence technology, design computer vision technology algorithm, and realize computer vision technology based on artificial intelligence. Experimental results: this research technology has high accuracy and efficiency of visual measurement and target detection.
作者
李徐梅
LI Xumei(Tongren Vocational and Technical College,Tongren Guizhou 554300,China)
出处
《信息与电脑》
2022年第5期147-149,共3页
Information & Computer
关键词
人工智能
计算机视觉
视觉测量
artificial intelligence
computer vision
visual measurement
