Extraction and Analysis of the Man-made Fiberboard Cavity Based on Image Recognition Technique
The cavity is an important indicator of quality detection for the man-made fiberboard. According to the smaller sizes, the variant shapes and the larger range of colour distribution of the cavities, this paper carries out a detailed analysis of the cavity parameters. This paper enhances the contrast of the image of the cavity, and then uses the threshold segmentation method to extract the cavity image, and thus extracts the cavity rate and the average cavity size parameters. A large number of experimental results indicate that the fiberboard of different densities have obvious differences in the cavity rate and the average cavity size, so this paper can consider the cavity rate and the average cavity area as two vital bases for judgment of classification of the fiberboard.
man-made fiberboard image recognition the cavity rate the average cavity size quality detection
Pengfei Sun Honge Ren Benzhi Dong
Information and Computer Engineering Collegs Northeast Forest UniversityMailbox 319,26 He Xing Rd.,N Information and Computer Engineering Collegs Northeast Forest University Mailbox 319,26 He Xing Rd.,
国际会议
2010 IEEE信息与自动化国际会议(ICIA 2010)
哈尔滨
英文
1-4
2010-06-20（万方平台首次上网日期，不代表论文的发表时间）