Combining Real-Valued and Binary Gabor-Radon Features for Classification and Search in Medical Imaging Archives
Content-based image retrieval (CBIR) of medical images in large datasets to identify similar images when a query image is given can be very useful in improving the diagnostic decision of the clinical experts and as well in educational scenarios. In this paper, we used two stage classification and retrieval approach to retrieve similar images. First, the Gabor filters are applied to Radon-transformed images to extract features and to train a multi-class SVM. Then based on the classification results and using an extracted Gabor barcode, similar images are retrieved. The proposed method was tested on IRMA dataset which contains more than 14,000 images. Experimental results show the efficiency of our approach in retrieving similar images compared to other Gabor-Radon-oriented methods.
Code (0)
등록된 구현이 없습니다.
Tasks
Content-Based Image RetrievalDiagnosticGeneral ClassificationImage RetrievalRetrievalMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Radon-Gabor Barcodes for Medical Image Retrieval
In recent years, with the explosion of digital images on the Web, content-based retrieval has emerged as a significant research area. Shapes, textures, edges and segments may play a key role in describing the content of …
Image RetrievalMedical Image RetrievalRetrievalGabor Barcodes for Medical Image Retrieval
In recent years, advances in medical imaging have led to the emergence of massive databases, containing images from a diverse range of modalities. This has significantly heightened the need for automated annotation of th…
Content-Based Image RetrievalImage RetrievalMedical Image RetrievalRetrievalNaive Gabor Networks for Hyperspectral Image Classification
Recently, many convolutional neural network (CNN) methods have been designed for hyperspectral image (HSI) classification since CNNs are able to produce good representations of data, which greatly benefits from a huge nu…
ClassificationGeneral ClassificationHyperspectral Image Classificationimage-classification+1Radon Features and Barcodes for Medical Image Retrieval via SVM
For more than two decades, research has been performed on content-based image retrieval (CBIR). By combining Radon projections and the support vector machines (SVM), a content-based medical image retrieval method is pres…
Content-Based Image RetrievalImage RetrievalMedical Image RetrievalRetrieval+1MinMax Radon Barcodes for Medical Image Retrieval
Content-based medical image retrieval can support diagnostic decisions by clinical experts. Examining similar images may provide clues to the expert to remove uncertainties in his/her final diagnosis. Beyond conventional…
DiagnosticImage RetrievalMedical Image RetrievalRetrieval+1