电脑知识与技术
電腦知識與技術
전뇌지식여기술
Computer Knowledge and Technology
2015年
18期
163-166
,共4页
叶炜%郑灵凤%周云蕾%朱蓉
葉煒%鄭靈鳳%週雲蕾%硃蓉
협위%정령봉%주운뢰%주용
纹理图像%双树复小波变换%支持向量机%纹理分类
紋理圖像%雙樹複小波變換%支持嚮量機%紋理分類
문리도상%쌍수복소파변환%지지향량궤%문리분류
texture image%Dual Tree-Complex Wavelet Transform (DT-CWT)%Support Vector Machine (SVM)%texture classifica?tion
如今在充满着视觉信息的现实世界中,纹理图像由于蕴含着大量的有用信息越来越受到研究者的关注.提出了一种基于小波变换和支持向量机的纹理图像分类方法,即在分析不同纹理图像之间在内容上的显著差异的基础上,先采用双树复小波变换对图像进行基于纹理特征的提取操作,再利用支持向量机对不同纹理图像进行分类.提出的方法在包含200幅不同纹理图像的图像集上进行实验验证,获得了较好的分类结果.
如今在充滿著視覺信息的現實世界中,紋理圖像由于蘊含著大量的有用信息越來越受到研究者的關註.提齣瞭一種基于小波變換和支持嚮量機的紋理圖像分類方法,即在分析不同紋理圖像之間在內容上的顯著差異的基礎上,先採用雙樹複小波變換對圖像進行基于紋理特徵的提取操作,再利用支持嚮量機對不同紋理圖像進行分類.提齣的方法在包含200幅不同紋理圖像的圖像集上進行實驗驗證,穫得瞭較好的分類結果.
여금재충만착시각신식적현실세계중,문리도상유우온함착대량적유용신식월래월수도연구자적관주.제출료일충기우소파변환화지지향량궤적문리도상분류방법,즉재분석불동문리도상지간재내용상적현저차이적기출상,선채용쌍수복소파변환대도상진행기우문리특정적제취조작,재이용지지향량궤대불동문리도상진행분류.제출적방법재포함200폭불동문리도상적도상집상진행실험험증,획득료교호적분류결과.
Nowadays, we have witnessed the exponential growth of visual information with the development of computer technology in the real world. Among the large number of visual information, texture images are getting more and more attentions for research?ers since they contain many useful information. In this paper, we propose a new texture image classification method based on wave?let transform and Support Vector Machine (SVM). Firstly, based on the analysis of the significant differences among texture images, the texture features of these images are extracted by using the Dual Tree-Complex Wavelet Transform (DT-CWT). And then, these images are classified by applying SVM. Some experiments are conducted on an image set which includes 200 images, and the re?sults confirm that the proposed method obtains a better classification performance.
