Extraction of Perceptual Hue Feature Set for Color Image/Video Segmentation

Authors:
Ming-Jiun Wang;Gwo Giun Lee;He-Yuan Lin
Affiliations:
Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan;Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan;Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan
Venue:
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2008

Citing 5
Cited 0

Filtering for Texture Classification: A Comparative Study

IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Segmentation of Color-Texture Regions in Images and Video

IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing

Digital Image Processing
Determining the Number of Clusters/Segments in Hierarchical Clustering/Segmentation Algorithms

ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
Color texture measurement and segmentation

Signal Processing - Special section on content-based image and video retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present a simple but effective algorithm for the extraction of perceptual hue feature set used in color image/video segmentation with emphasis on color textures. Feature extraction, with significant impact on the overall image/video analysis process, plays a critical role in classification-based segmentation. Color textures are accurately characterized by the newly introduced feature set with invariance to illumination, translation, and rotation, which is contributed by the statistical scheme in exploring the distribution of six rudimentary colors and the achromatic component at local positions. The feature set provides characteristic information and enables segmentation that is more meaningful than the recently published works do.