Superpixel Segmentation Using Gaussian Mixture Model

• Published in: IEEE transactions on image processing Vol. 27; no. 8; pp. 4105 - 4117
• Main Authors: Ban, Zhihua, Liu, Jianguo, Cao, Li
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.08.2018
• Subjects: Computational complexity; Covariance matrices; Erbium; expectation-maximization; Feature extraction; Gaussian mixture model; Image color analysis; Image segmentation; parallel algorithms; Shape; Superpixel

Superpixel segmentation partitions an image into perceptually coherent segments of similar size, namely, superpixels. It is becoming a fundamental preprocessing step for various computer vision tasks because superpixels significantly reduce the number of inputs and provide a meaningful representatio...