Paper
28 August 1995 Image matching based on fractal image coding
Xiaoping Liu, Jiaxiong Peng, Mingyue Ding, Ji Zhou
Author Affiliations +
Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217452
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China
Abstract
In this paper, we use the approach of fractal segmentation and improved fractal image coding, and match images by the decoded images which we use as the fractal features of original images, taking advantage of the stable features which the images of nature scenes have. Experiments show that much higher accuracy and probability of matching for images of nature scenes were obtained than using traditional methods such as mean absolute difference of graylevel or edge features.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoping Liu, Jiaxiong Peng, Mingyue Ding, and Ji Zhou "Image matching based on fractal image coding", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); https://doi.org/10.1117/12.217452
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image compression

Fractal analysis

Image segmentation

Digital imaging

Digital image processing

Image sensors

Distortion

RELATED CONTENT

Aesthetics and entropy II: a critical examination
Proceedings of SPIE (March 14 2013)
Fast and efficient fractal image compression algorithm
Proceedings of SPIE (September 25 1998)
Fractal-coding-like lossless binary image compressing method
Proceedings of SPIE (September 26 2001)
New approach for intensity distortion-invariant OPR
Proceedings of SPIE (March 27 1997)
Object recognition in a digital image
Proceedings of SPIE (July 30 2002)

Back to Top