CONIC: Contour Optimized Non-Iterative Clustering Superpixel Segmentation

CONIC: Contour Optimized Non-Iterative Clustering Superpixel Segmentation

Superpixels group perceptually similar pixels into homogeneous sub-regions that act as meaningful features for advanced tasks. However, there is still a contradiction between color homogeneity and shape regularity in existing algorithms, which hinders their performance in further processing. In this...

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Bibliographic Details
Main Authors: Cheng Li, Baolong Guo, Nannan Liao, Jianglei Gong, Xiaodong Han, Shuwei Hou, Zhijie Chen, Wangpeng He
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
superpixel segmentation
image contour
non-iterative clustering
seeds redistribution
feature distance measurement
Online Access:https://www.mdpi.com/2072-4292/13/6/1061

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https://www.mdpi.com/2072-4292/13/6/1061

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