Particle detection on low contrast image of large aperture optics

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	Particle detection on low contrast image of large aperture optics
	Ding Wendong; Xu D(徐德); Zhang ZT(张正涛); Zhang DP(张大朋)
	2016-05
会议日期	2016-5
会议地点	yinchuan
关键词	Particle Inspection Image Alignment Reference Image Subtraction Classification.
英文摘要	It's a challenge to identify actual deposited particles from the acquired optics image mixed with large noises. Due to the long working distance constraint for online inspecting large aperture optics, the vision system has great depth of view. It results in that the acquired optics image is blended with stain contamination on the back side of the inspected optics surface. In this paper, we propose a particle detection method for the low contrast image of large aperture optics. The method consists of three steps including particle candidate detection, image alignment, and particle determination. The particle candidate detection algorithm combines the gradient information to detect small particles. The actual particles are determined by the subtraction of the reference image from the inspected image with the topological information. For the detected particle, this paper also gives a classification method to identify dust and defect. Experiment shows that the actual particle on the low contract image of large aperture optics can be effectively detected and classified with the proposed method.
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/19821]
专题	精密感知与控制研究中心_精密感知与控制
作者单位	Institute of automation, chinese academy of sciences
推荐引用方式 GB/T 7714	Ding Wendong,Xu D,Zhang ZT,et al. Particle detection on low contrast image of large aperture optics[C]. 见:. yinchuan. 2016-5.