Local Radon Descriptors for Image Search
Radon transform and its inverse operation are important techniques in medical imaging tasks. Recently, there has been renewed interest in Radon transform for applications such as content-based medical image retrieval. However, all studies so far have used Radon transform as a global or quasi-global image descriptor by extracting projections of the whole image or large sub-images. This paper attempts to show that the dense sampling to generate the histogram of local Radon projections has a much higher discrimination capability than the global one. In this paper, we introduce Local Radon Descriptor (LRD) and apply it to the IRMA dataset, which contains 14,410 x-ray images as well as to the INRIA Holidays dataset with 1,990 images. Our results show significant improvement in retrieval performance by using LRD versus its global version. We also demonstrate that LRD can deliver results comparable to well-established descriptors like LBP and HOG.
Code (0)
등록된 구현이 없습니다.
Tasks
Image RetrievalMedical Image RetrievalRetrievalSimilar Papers 제목 키워드 기반
A new Local Radon Descriptor for Content-Based Image Search
Content-based image retrieval (CBIR) is an essential part of computer vision research, especially in medical expert systems. Having a discriminative image descriptor with the least number of parameters for tuning is desi…
Content-Based Image RetrievalImage RetrievalRetrievalMinMax 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+1Gabor 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 RetrievalRetrievalEfficient Computation of Higher Order 2D Image Moments using the Discrete Radon Transform
Geometric moments and moment invariants of image artifacts have many uses in computer vision applications, e.g. shape classification or object position and orientation. Higher order moments are of interest to provide add…
PositionBarcodes for Medical Image Retrieval Using Autoencoded Radon Transform
Using content-based binary codes to tag digital images has emerged as a promising retrieval technology. Recently, Radon barcodes (RBCs) have been introduced as a new binary descriptor for image search. RBCs are generated…
BinarizationImage RetrievalMedical Image RetrievalRetrieval+1