首页|University of Technology Researcher Provides New Insights into Robotics (Shadow Detection and Elimination for Robot and Machine Vision Applications)
University of Technology Researcher Provides New Insights into Robotics (Shadow Detection and Elimination for Robot and Machine Vision Applications)
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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.”
University of TechnologyBaghdadIraqAsiaEmerging TechnologiesMachine LearningMachine VisionRobotRobotics
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