Image segmentation using spectral clustering

Chongjun Wang; Jun Li; Lin Ding; Juan Tian; Shifu Chen

doi:10.1109/ictai.2005.74

ScienceGate Book Chapters

JOURNAL ARTICLE

Image segmentation using spectral clustering

Chongjun Wang Jun Li Lin Ding Juan Tian Shifu Chen

Year: 2005 Pages: 2 pp.-678

DOI: 10.1109/ictai.2005.74

Get Full-Text PDF Get Analytical Report

Abstract

This paper focuses on how to automatically determine the suitable clustering number in image segmentation and designs an algorithm of CANA using spectral clustering. Experiment results indicate that ACNA can provide superior performance. An application sample in image punching is introduced

Keywords:

Cluster analysis Artificial intelligence Image segmentation Segmentation-based object categorization Spectral clustering Computer science Segmentation Pattern recognition (psychology) Scale-space segmentation Computer vision Sample (material) Image (mathematics)

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.28

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

CCD and CMOS Imaging Sensors

Physical Sciences → Engineering → Electrical and Electronic Engineering

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image segmentation using spectral clustering

Abstract

Metrics

Citation History

Topics

Related Documents

Ultrasound image segmentation using spectral clustering

Texture Image Segmentation Using Spectral Clustering

Image Segmentation by Using Linear Spectral Clustering

Analysis of Image Segmentation Performance using Spectral Clustering

Hyper-spectral image segmentation using spectral clustering with covariance descriptors