基于OpenGL辅助设计系统的图像饱和度增强算法的应用

Yi-Heng Mao, Man Zhang
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引用次数: 0

摘要

降低了图像识别率。基于单色大气散射模型和暗原色先验规律,提出了一种新的HS I色彩模型视觉感知饱和算法,实现图像去雾。对于去雾图像的最小像素点,采用最大值和最小值。估计。由此得出,“高效节能、绿色低碳、清洁环保”是直流焊接电源未来发展的必然方向。利用OpenGL图形标准良好的三维图像生成功能,燕山大学基于SketchUp平台开发了钢管拉伸过程专用有限元仿真系统。目标在哪里。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Image Saturation Enhancement Algorithm based on OpenGL Aided Design System
The image recognition rate is reduced. Based on the monochromatic atmospheric scattering model and the prior law of dark primary colors, a new algorithm for the saturation of the HS I color model for visual perception is proposed to achieve image dehazing. For the minimum pixel point of the dehazed image, the maximum value and the minimum value are used. Estimate. It is conduded that “high efficiency, energy saving, green low carbon, clean and environmental protection” is the inevitable direction of the future development of DC welding power sources. Using the good 3D image generation function of the OpenGL graphics standard, the special finite element simulation system for the steel pipe tension reduction process developed by Yanshan University is based on the SketchUp platform. where the target is.
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