Title :
Comparison of different feature extraction techniques in content-based image retrieval for CT brain images
Author :
Ahmad, Wan Siti Halimatul Munirah Wan ; Fauzi, Mohammad Faizal Ahmad
Author_Institution :
Fac. of Eng., Multimedia Univ., Cyberjaya
Abstract :
Content-based image retrieval (CBIR) system helps users retrieve relevant images based on their contents. A reliable content-based feature extraction technique is therefore required to effectively extract most of the information from the images. These important elements include texture, colour, intensity or shape of the object inside an image. CBIR, when used in medical applications, can help medical experts in their diagnosis such as retrieving similar kind of disease and patientpsilas progress monitoring. In this paper, several feature extraction techniques are explored to see their effectiveness in retrieving medical images. The techniques are Gabor transform, discrete wavelet frame, Hu moment invariants, Fourier descriptor, gray level histogram and gray level coherence vector. Experiments are conducted on 3,032 CT images of human brain and promising results are reported.
Keywords :
Fourier transforms; brain; computerised tomography; content-based retrieval; diagnostic radiography; discrete wavelet transforms; feature extraction; image colour analysis; image retrieval; image texture; medical image processing; neurophysiology; CBIR; CT brain image; Fourier descriptor; Gabor transform; Hu moment invariant; content-based image retrieval; discrete wavelet frame; disease; feature extraction; gray level coherence vector; gray level histogram; image colour analysis; image texture; medical diagnosis; patient progress monitoring; Biomedical imaging; Brain; Computed tomography; Content based retrieval; Data mining; Discrete wavelet transforms; Feature extraction; Image retrieval; Medical diagnostic imaging; Shape;
Conference_Titel :
Multimedia Signal Processing, 2008 IEEE 10th Workshop on
Conference_Location :
Cairns, Qld
Print_ISBN :
978-1-4244-2294-4
Electronic_ISBN :
978-1-4244-2295-1
DOI :
10.1109/MMSP.2008.4665130