Evolutionary Segmentation of Texture Image Using Perturbation Optimization
Author:
Affiliation:
1. Graduate School of Science and Technology, Kobe University
2. Siebold University of Nagasaki
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
http://www.jstage.jst.go.jp/article/ieejeiss/126/4/126_4_513/_pdf
Reference20 articles.
1. Updating land-cover maps by using texture information from very high-resolution space-borne imagery
2. (2) J. Wagi, S. Oe, and K. Terada: “A Texture Analysis Method by Using Local Binary Pattern”, Proc. of 7th Korea-Japan Joint Workshop on Computer Vision, pp. 73-77 (2001)
3. Texture segmentation method by using two-dimensional AR model and Kullback information
4. A Region-Based Segmentation Method for Multichannel Image Data
5. Unsupervised texture segmentation using feature distributions
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