Image Compression via K-Means and SLIC Superpixel Approaches

doi 10.2991/icmmita-16.2016.185
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Atlantis Press

Related search

Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation

IEEE Transactions on Fuzzy Systems
ControlSystems EngineeringApplied MathematicsMathematicsComputational TheoryArtificial Intelligence
2019English

SLIC Superpixel Based Self Organizing Maps Algorithm for Segmentation of Microarray Images

International Journal of Advances in Applied Sciences
2018English

Image to Image Search Using K-Means Clustering

International Journal of Computer Applications
2019English

Superpixel Cut for Figure-Ground Image Segmentation

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
InstrumentationEarthPlanetary SciencesEnvironmental Science
2016English

A Convex Approach to K-Means Clustering and Image Segmentation

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2018English

Kernel-Reliability-Based K-Means (KRKM) Clustering Algorithm and Image Processing

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2014English

Spatial Layout Image Retrieval Based on Fast Image Segmentation Using K-Means Clustering

International Journal of Computer Applications
2012English

Fast Superpixel-Based Hierarchical Approach to Image Segmentation

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2015English

A Comparative Study of Otsu Thresholding and K-Means Algorithm of Image Segmentation

International Journal of Engineering and Technical Research (IJETR)
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy