基于逆向视域与图像识别的可视性分析

为克服传统的可视性分析方法的缺点,提出基于逆向视域与图像识别的可视性分析技术。通过图像识别技术中的颜色识别检测逆向视域生成的图片内是否包含眼部活动区域构成的包络体,分析维修人员能否看到操作部位,完成可视性分析。介绍其基本流程,根据研究思路对可视性分析过程中眼部活动区域的生成、逆向视域生成和颜色识别3个关键点进行研究,并进行技术实现。结果表明,基于逆向视域与图像识别的可视性分析技术能克服传统方法烦琐、耗时等不足。

Visibility Analysis Based on Converse Sight and Image Recognition

To overcome the disadvantages of conventional visual analysis method based on visibility analysis of reverse perspective and image recognition technology. Through image recognition technology in the of color recognition detection reverse depending on domain generated of pictures within is contains eye activities regional constitute of package complex body to analysis maintenance personnel can see operation parts to completed visual sexual analysis, describes its basic process, according to research thought on visual sexual analysis process in the eye activities regional of generated, and reverse depending on domain generated and color recognition 3 a key points for research, and for technology achieved. Results show that based on visibility analysis of reverse perspective and image recognition technology can overcome the cumbersome, time-consuming traditional methods such as inadequate.