Similar Image Retrieval using affine invariant wavelet

使用仿射不变小波的相似图像检索

• 批准号: 12680395
• 负责人: HAYASHI Akira
• 金额: $ 1.73万
• 依托单位: Hiroshima City University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2000
• 资助国家: 日本
• 起止时间: 2000 至 2001
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-12680395/
• 关键词: Similar Image Retrieval; Region-based Image Retrieval; Wavelet Transform; Texture Image Segmentation; テクスチャ画像分割; 類自画像検索; テクスチャ; 画像分割; 局所エネルギー

Content-based image retrieval, which provides convenient ways to retrieve images from large image databases, has been studied actively. While many previous image retrieval techniques do not look at regions in an image, region based image retrieval techniques have been gaining attention recently.We propose a region-based image retrieval method which performs image segmentation and indexing using texture features computed from wavelet coefficients.The proposed method has advantages in texture feature extraction and hierarchical image segmentation over the previous region-based techniques using wavelet transform.

基于内容的图像检索为从大型图像数据库中检索图像提供了方便的方法，已经成为研究的热点。针对以往的图像检索技术不考虑图像中的区域，而基于区域的图像检索技术近年来引起了人们的关注，提出了一种基于区域的图像检索方法，该方法利用小波系数计算出的纹理特征进行图像分割和索引，在纹理特征提取和图像分层分割方面优于以往的基于区域的小波变换图像检索方法。

项目成果

N.Suematsu et al.: "Region Based Image Retrieval using Wavelet transform"Proc.15th Int.Conf.on Vision Interface. (予定). (2002)

N.Suematsu 等人：“使用小波变换进行基于区域的图像检索”Proc.15th Int.Conf.on Vision Interface（计划）。

T.MATSUOKA,T.UENO,T.ADACHI and M.OKADA: "Power Laws, Weak1 Estimate and Wavelet De-noising."Fractals. 8・1. 73-83 (2000)

T.MATSUOKA、T.UENO、T.ADACHI 和 M.OKADA：“幂律、弱 1 估计和小波去噪”。分形 8・1 (2000)。

Yoshihiro Ishida: "Image Retrieval using Wavelet transform (In Japanese)"Master's Thesis, Graduate School of Information Sciences, Hiroshima City University. (2001)

Yoshihiro Ishida：“使用小波变换的图像检索（日语）”广岛市立大学信息科学研究生院硕士学位论文。

N.Suematsu et al.: "Region-Based Image Retrieual using Wavelet transfom"Proc. 15th Int. Conf. on Vision Interface. (予定). (2002)

N.Suematsu 等人：“使用小波变换的区域图像检索”Proc. 15th Int Conf.（计划）。

T. Ueno et al: "Quasi-norms for a double sequence"Interdisciplinary Information Science. (to appear). (2002)

T. Ueno 等人：“双序列的准范数”跨学科信息科学。