基于小波分形特征提取的图象分割方法

陈哲; 冯天瑾

doi:10.11834/jig.1999012253

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专辑

基于小波分形特征提取的图象分割方法
An Image Segmentation Approach Based on Wavelet and Fractal Features Extraction
1999年4卷第12期页码：1072
纸质出版：1999
DOI： 10.11834/jig.1999012253
稿件说明：

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陈哲, 冯天瑾. 基于小波分形特征提取的图象分割方法[J]. 中国图象图形学报, 1999,4(12):1072. DOI： 10.11834/jig.1999012253.

An Image Segmentation Approach Based on Wavelet and Fractal Features Extraction[J]. Journal of Image and Graphics, 1999, 4(12): 1072. DOI： 10.11834/jig.1999012253.

摘要

提出了一种基于小波分解和分形纹理特征计算的图象分割方法，首先考虑对图象进行小波变换，然后对不同通道的子图象提取纹理的分形特征和能量特征，最后用直方图阈值分割方法实现图象的分割，实验表明，该方法对模拟纹理图象以及多少谱遥感图象的分割都取得了满意的效果。

Abstract

In this paper

an approach based on wavelet decomposition is developed for image segmentation. After making the image two dimensional wavelet transform

fractal dimension and texture features of subchannels are extracted for texture segmentation. The experimental results also demonstrated its satisfactory efficency both for simulated textured image and multispectral remotely sensed image.