A Method of Detecting Bearing’s Quality Based on Image Edge Morphologic Analysis
In this paper, a method of detecting industrial bearing’s quality based on image edge morphologic analysis and recognition technology was proposed. The image filter, enhancement and segmentation were adopted to pre-process the image and a novel image coding method based on relative direction coding was presented as well. Furthermore, an improved method based on image edge morphologic analysis was proposed, which can analyze the image edge with large quantities. Finally, a customized neural network classifier was utilized to sort images. The experimental results show that the approach to detecting bearing’s quality is effective and practical.
novel image coding method image edge morphologic analysis customized neural network classifier
Wei Qin Song-wen Pei Shi-le Zhang Bai-feng Wu
School of Computer Science, Fudan University,Shanghai 200433, China Department of Computer Science and Engineering, University of Shanghai for Science and Technology, S
国际会议
温州
英文
938-942
2009-11-26（万方平台首次上网日期，不代表论文的发表时间）