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图学学报

• 视觉与图像 • 上一篇    下一篇

基于快速小波变换的高适应性图像检索技术研究

摘 要:在目前已有的研究工作中,基于自适应小波的图像特征在基于内容的图#br# 像检索领域获得了广泛的应用。但这些方法存在一个共同问题,即采用相同的小波基描述不#br# 同的查询图像。为了提高图像检索技术的自适应能力,本文对不同的查询图像设计不同的小#br# 波基表示,从而实现用可调整的距离测度表征不同类别图像的特征改变。为了进一步降低表#br# 征图和表征导数图的求取时间,该文使用了近似泰勒展开。实验结果表明,这种新的图像检#br# 索技术具有高度的自适应能力,检索性能也大幅度提高。#br# 关 键 词:图像检索;小波变换;小波基;自适应   

  • 出版日期:2015-04-30 发布日期:2015-03-30

Highly Adaptive Image Retrieval Technology Based on Fast Wavelet Transform

Abstract: In the existing research in the field of content-based image retrieval, image#br# features obtained by adaptive wavelet transform have a wide range of applications. There is a#br# common problem in these methods that different query images are described with the same#br# wavelet basis. In order to improve the adaptive capacity of image retrieval techniques, different#br# wavelet bases are designed for different query images. Different wavelet bases can be used in#br# adjusting retrieval performance for different query images, and the extraction time does not#br# significantly increase. The experimental results show that this new image retrieval technology has#br# a high adaptive capacity and its retrieval performance is also greatly improved.#br# Key words: image retrieval; wavelet transform; wavelet basis; adaptive   

  • Online:2015-04-30 Published:2015-03-30

摘要: 在目前已有的研究工作中,基于自适应小波的图像特征在基于内容的图
像检索领域获得了广泛的应用。但这些方法存在一个共同问题,即采用相同的小波基描述不
同的查询图像。为了提高图像检索技术的自适应能力,本文对不同的查询图像设计不同的小
波基表示,从而实现用可调整的距离测度表征不同类别图像的特征改变。为了进一步降低表
征图和表征导数图的求取时间,该文使用了近似泰勒展开。实验结果表明,这种新的图像检
索技术具有高度的自适应能力,检索性能也大幅度提高。

关键词: 图像检索, 小波变换, 小波基, 自适应

Abstract: In the existing research in the field of content-based image retrieval, image
features obtained by adaptive wavelet transform have a wide range of applications. There is a
common problem in these methods that different query images are described with the same
wavelet basis. In order to improve the adaptive capacity of image retrieval techniques, different
wavelet bases are designed for different query images. Different wavelet bases can be used in
adjusting retrieval performance for different query images, and the extraction time does not
significantly increase. The experimental results show that this new image retrieval technology has
a high adaptive capacity and its retrieval performance is also greatly improved.

Key words: image retrieval, wavelet transform, wavelet basis, adaptive