Color histogram is now widely used in image retrieval. Color histogram-based image retrieval methods are simple and efficient but without considering the spatial distribution information of the color. To overcome the ...Color histogram is now widely used in image retrieval. Color histogram-based image retrieval methods are simple and efficient but without considering the spatial distribution information of the color. To overcome the shortcoming of conventional color histogram-based image retrieval methods, an image retrieval method based on Radon Transform (RT) is proposed. In order to reduce the computational complexity, wavelet decomposition is used to compress image data. Firstly, images are decomposed by Mallat algorithm. The low-frequency components are then projected by RT to generate the spatial color feature. Finally the moment feature matrices which are saved along with original images are obtained. Experimental results show that the RT based retrieval is more accurate and efficient than traditional color histogram-based method in case that there are obvious objects in images. Further more, RT based retrieval runs significantly faster than the traditional color histogram methods.展开更多
基于内容的图像检索是利用图像的低级特征来检索相似性图像,在医学图像数据库检索中有着广泛的需求,而医学图像除了包含内容信息外还包含大量的语义信息。我们提出了联合医学数字成像和通信(Digital imaging and communications in medi...基于内容的图像检索是利用图像的低级特征来检索相似性图像,在医学图像数据库检索中有着广泛的需求,而医学图像除了包含内容信息外还包含大量的语义信息。我们提出了联合医学数字成像和通信(Digital imaging and communications in medicine,DICOM)特征与图像内容低级特征的方法来检索相似的医学图像,方法是首先从医学图像数据库中提取图像的DICOM头信息的语义信息,以便进行图像的预筛选,然后提取经预筛选后的图像和样例图像的纹理特征(双树复小波),相比两者得到与样例图像相似的图像。实验结果显示联合高级语义(DI-COM特征)和低级特征(纹理)的方法能提高检索的效能。展开更多
基金Supported by the National Natural Science Foundation of China (No.60372059) Natural Foundation of Anhui Province (No.03042206).
文摘Color histogram is now widely used in image retrieval. Color histogram-based image retrieval methods are simple and efficient but without considering the spatial distribution information of the color. To overcome the shortcoming of conventional color histogram-based image retrieval methods, an image retrieval method based on Radon Transform (RT) is proposed. In order to reduce the computational complexity, wavelet decomposition is used to compress image data. Firstly, images are decomposed by Mallat algorithm. The low-frequency components are then projected by RT to generate the spatial color feature. Finally the moment feature matrices which are saved along with original images are obtained. Experimental results show that the RT based retrieval is more accurate and efficient than traditional color histogram-based method in case that there are obvious objects in images. Further more, RT based retrieval runs significantly faster than the traditional color histogram methods.
文摘基于内容的图像检索是利用图像的低级特征来检索相似性图像,在医学图像数据库检索中有着广泛的需求,而医学图像除了包含内容信息外还包含大量的语义信息。我们提出了联合医学数字成像和通信(Digital imaging and communications in medicine,DICOM)特征与图像内容低级特征的方法来检索相似的医学图像,方法是首先从医学图像数据库中提取图像的DICOM头信息的语义信息,以便进行图像的预筛选,然后提取经预筛选后的图像和样例图像的纹理特征(双树复小波),相比两者得到与样例图像相似的图像。实验结果显示联合高级语义(DI-COM特征)和低级特征(纹理)的方法能提高检索的效能。
