JOURNAL ARTICLE

Fast simple linear iterative clustering for superpixel segmentation

Abstract

In this paper, a fast implementation of simple linear iterative clustering is presented. By exploiting spatial redundancy within natural images, we successfully reduce the number of distance calculation. It is confirmed that the proposed method runs about two times faster than the conventional method with almost same segmentation results.

Keywords:
Cluster analysis Computer science Simple (philosophy) Redundancy (engineering) Segmentation Image segmentation Iterative method Artificial intelligence Pattern recognition (psychology) Algorithm Scale-space segmentation Computer vision

Metrics

4
Cited By
0.42
FWCI (Field Weighted Citation Impact)
10
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Visual Attention and Saliency Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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