摘要
由一名新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-研究人员在机器人S中详细介绍了新的数据。根据NewsRx Corresp Ondents从伊拉克巴格达发回的新闻报道，研究称。“阴影去除对于机器人和机器视觉来说至关重要，因为视觉场景的不确定性和模糊性对目标检测的准确性有很大影响。”新闻记者引用了科技大学的一篇研究文章：“本文介绍了一种基于高斯方程的不同形状、方向和空间范围的阴影检测和REM椭圆的新算法。这里，利用视觉场景的对比度信息通过五个连续的处理阶段进行SHAD检测和去除，在第一阶段进行对比度滤波，获得图像的对比度信息；第二阶段进行归一化处理，抑制NOIS E，在特定位置产生与NEIG HBoring强度相比较的均衡强度；第三阶段，提取目标物体的边界，在第四和第五阶段分别突出显示和重建interes t(ROI)区域。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotic s. According to news reporting originating from Baghdad, Iraq, by NewsRx corresp ondents, research stated, “Shadow removal is crucial for robot and machine visio n as the accuracy of object detection is greatly influenced by the uncertainty a nd ambiguity of the visual scene.”The news journalists obtained a quote from the research from University of Techn ology: “In this paper, we introduce a new algorithm for shadow detection and rem oval based on different shapes, orientations, and spatial extents of Gaussian eq uations. Here, the contrast information of the visual scene is utilized for shad ow detection and removal through five consecutive processing stages. In the firs t stage, contrast filtering is performed to obtain the contrast information of t he image. The second stage involves a normalization process that suppresses nois e and generates a balanced intensity at a specific position compared to the neig hboring intensities. In the third stage, the boundary of the target object is ex tracted, and in the fourth and fifth stages, respectively, the region of interes t (ROI) is highlighted and reconstructed.”
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