Tsung-Yen Liu

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Image segmentation is an important preliminary process required in object tracking applications. This paper addresses the issue of unsupervised multi‐colour thresholding design for colour‐based multiple objects segmentation. Most of the current unsupervised colour thresholding techniques require adopting a supervised training(More)
Color image segmentation is a crucial preliminary task in robotic vision systems. This paper presents a novel automatic multilevel color thresholding algorithm to address this task efficiently. The proposed algorithm consists of a learning process and a multi-threshold searching process. The learning process learns the color distribution of an input video(More)
In many robotic manipulator applications, the robot manipulator usually requires knowing the orientation of an object-of-interest to perform grasp planning. This paper presents a novel image-based object orientation estimation algorithm that efficiently and accurately estimates the orientation of a geometric object from vision information only. First, a(More)
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