一种改进的羊绒、羊毛纤维图像分水岭变换方法

Shuyuan Shang, Ya-Xia Liu, Fei-Fei Meng
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引用次数: 1

摘要

通过实验,如果使用传统的分水岭算法对羊绒图像进行边缘提取,结果会出现严重的“过分割”现象。本文采用多分辨率分析理论,利用小波变换理论建立图像分割的多分辨率分析框架。多小波变换在边缘检测和纹理分析方面具有独特的优势和良好的性能。本研究采用多小波变换对过分割分水岭变换进行改进,得到有意义的图像分割结果。为羊绒图像直径、片状高度等特征的提取做准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved method of watershed transform on image of cashmere and wool fibre
Through the experiment, if using the traditional watershed algorithm of cashmere image edge extraction, the results will appear serious `over-segmentation' phenomenon. This paper adopts multi-resolution analysis theory, using wavelet transformation theory establishment multi-resolution analysis framework on image segmentation. Multi-wavelet transform has some unique advantages and good performance on edge detection and texture analysis. This research uses multi-wavelet transform to improve the over-segmentation watershed transformation, to get meaningful image segmentation result. It facilitates the preparation for the extraction of characteristic such as cashmere image diameter, flake highly, and etc.
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