光学
色调
结构光
计算机科学
水下
色空间
人工智能
计算机视觉
HSL和HSV色彩空间
地质学
物理
图像(数学)
生物
海洋学
病毒学
病毒
作者
Yi Wu,Yaqin Zhou,Shangjing Chen,Yunpeng Ma,Qingwu Li
出处
期刊:Applied Optics
[The Optical Society]
日期:2021-08-30
卷期号:60 (25): 7754-7754
被引量:5
摘要
Surface defect inspection for underwater structures is important. However, the inspection technologies based on passive vision cannot meet accuracy requirements. In this paper, we propose a two-stage method based on structured light images for defect detection. In the first stage, light stripes are extracted based on the analysis of hue, saturation, value (HSV) space and gray space. Then a hole-filling method is applied to ensure stripe integrity. In the second stage, depth information for all light stripes is calculated to synthesize a depth map, which is segmented for defect localization and measurement. Experimental results have verified the feasibility and effectiveness of our method.
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