The Study of Image Segmentation Based on the Combination of the Wavelet Multi-scale Edge Detection and the Entropy Iterative Threshold Selection

The Study of Image Segmentation Based on the Combination of the Wavelet Multi-scale Edge Detection and the Entropy Iterative Threshold Selection

This paper proposes an image segmentation method based on the combination of the wavelet multi-scale edge detection and the entropy iterative threshold selection. Image for segmentation is divided into two parts by high- and low-frequency. In the high-frequency part the wavelet multiscale was used f...

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Veröffentlicht in:中国生物医学工程学报（英文版） 2013, Vol.22 (4), p.154-160
1. Verfasser: ZHANG Qian HE Jian-feng MA Lei PAN Li-peng LIU Jun-qing CHEN Hong-lei
Format: Artikel
Sprache:eng
Schlagworte:
图像分割方法
多尺度边缘检测
小波多尺度
感兴趣区域
熵
迭代
阈值选取
阈值选择
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creator ZHANG Qian HE Jian-feng MA Lei PAN Li-peng LIU Jun-qing CHEN Hong-lei
description This paper proposes an image segmentation method based on the combination of the wavelet multi-scale edge detection and the entropy iterative threshold selection. Image for segmentation is divided into two parts by high- and low-frequency. In the high-frequency part the wavelet multiscale was used for the edge detection, and the low-frequency part conducted on segmentation using the entropy iterative threshold selection method. Through the consideration of the image edge and region, a CT image of the thorax was chosen to test the proposed method for the segmentation of the lungs. Experimental results show that the method is efficient to segment the interesting region of an image compared with conventional methods.
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subjects 图像分割方法
多尺度边缘检测
小波多尺度
感兴趣区域
熵
迭代
阈值选取
阈值选择
title The Study of Image Segmentation Based on the Combination of the Wavelet Multi-scale Edge Detection and the Entropy Iterative Threshold Selection
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