Improved mean shift segmentation approach for natural images

DOI10.1016/J.AMC.2006.07.038zbMath1142.94311OpenAlexW2013743389MaRDI QIDQ872342

Jianqiang Yi, Yiping Hong, Dongbin Zhao

Publication date: 27 March 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.07.038

zbMATH Keywords

density estimationmean shiftmode detectionnatural image segmentation

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Fast global minimization of the Chan-Vese model for image segmentation problem

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Nonparametric and semiparametric models.
• The estimation of the gradient of a density function, with applications in pattern recognition
• Active contours without edges
• Automatic image segmentation by integrating color-edge extraction and seeded region growing
• Consistency and stability of active contours with Euclidean and non-Euclidean arc lengths
• Color texture segmentation using feature distributions
• Contour and texture analysis for image segmentation

This page was built for publication: Improved mean shift segmentation approach for natural images