Title :
Chest Radiographs Retrieval Based on Multi-Band Wavelet Transformation
Author :
Shao, Hong ; Ding, Zhifei ; Cui, Wencheng
Author_Institution :
Sch. of Sino-Dutch Biomed. & Inf. Eng., Northeastern Univ., Shenyang, China
Abstract :
Use the chest radiographs for study,a new image retrieval method based on multi-band wavelet transformation is presented. Firstly,an image is decomposed by multi-band wavelet and the coefficients of each component are extracted; Secondly,row modulus maxima density,column modulus maxima density and modulus maxima energy of each component are computed by analyzing the coefficients,and the eigenvector of the image is composed by them;Finally,the similarity between the target image and each image of the database is measured,and according to the order of the similarities,the retrieval results are displayed.Experimental results show that the retrieval effect based on multi-band wavelet transformation is better than it based on gray level co-occurrence matrix or the binary wavelet transformation.
Keywords :
content-based retrieval; diagnostic radiography; feature extraction; image retrieval; medical image processing; wavelet transforms; binary wavelet transformation; chest radiograph retrieval; column modulus maxima density; eigenvector; gray level co-occurrence matrix; image retrieval method; modulus maxima energy; multiband wavelet transformation; row modulus maxima density; Biomedical imaging; Diseases; Feature extraction; Image retrieval; Radiography; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5678197