A Fast K-medoids Clustering Algorithm for Image Segmentation based Object Recognition
Wang Xiaochun, Wang Xia Li · Journal of Robotics and Automation · 2020
The segmentation of color images as a preprocessing to recognize objects is an important computer vision technique for robotic environment modeling. Linking image sequences to identify all the segments belonging to the same objects is a crucial and challenging problem, especially given the large volumes of image data. In this paper, we propose an aggregation-based fast K-medoids clustering algorithm as a solution for an efficient as well as reliable image segmentation and object recognition problem.