Results 101 to 110 of about 36,977,793 (187)

A novel image retrieval based on rectangular spatial histograms of visual words

Kuwait Journal of Science, 2018
Content-based image retrieval (CBIR) provides a solution to search the images that are similar to a query image. From last few years, the bag-of-visual-words (BoVW) model gained significance and improved the performance of CBIR. In a standard BoVW model,
Dr. Zahid Mehmood, Dr. Syed Muhammad Anwar, Dr. Muhammad Altaf   +2 more
doaj  

A parallel architecture for feature extraction in content-based image retrieval system [PDF]

, 2004
Although it is possible to retrieve images from database using a unique identification defined by a human operator as an index to images, it is more convenient and natural to search images based on their contents.
Wong, K.W., Li, J.B., Fung, C.C., Chung, K.P.   +3 more
core  

Content-based Image Retrieval (CBIR) using Hybrid Technique

, 2013
Zainab Ibrahim Abood, I. Muhsin, N. J. Tawfiq   +2 more
semanticscholar   +1 more source

Mind the gap: challenges and future directions for content-based image retrieval in clinical radiology. [PDF]

Front Radiol
Spada E, Erb-Eigner K, Pahud de Mortanges A, Reyes M, Pöllinger A.   +4 more
europepmc   +1 more source

Reliability of foundation models for image retrieval in histopathology. [PDF]

Npj Imaging
Shafique A, Qin X, Dy A, Alshamlan N, Androutsos D, Done SJ, Khademi A.   +6 more
europepmc   +1 more source

A causality-enhanced multiresolution residual learning framework for image retrieval with fast osprey optimization. [PDF]

Sci Rep
Zeain AY, Ibrahim AA.
europepmc   +1 more source

Enhanced content-based image retrieval via hybrid color, texture, and deep learning features. [PDF]

Sci Rep
Tyagi S, Shukla P, Singh P, Tekchandani H.   +3 more
europepmc   +1 more source

Dual-path deep learning framework for accurate and interpretable brain tumor diagnosis. [PDF]

BMC Med Inform Decis Mak
Haroun RF, Khater HA, Mohamed MA, Abdelfattah MG.   +3 more
europepmc   +1 more source

Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people. [PDF]

Nat Med
Xu X', Hu H, Zhang H, Wang WK, Wang R, Soenksen LR, Badri O, Jafry S, Burger E, Nwandu L, Mehta A, Duhaime EP, Qasim A, Lin H, Pereira JK, Hershon J, Mui P, Gru AA, Elhadad N, Mamykina L, Groh M, Tschandl P, Daneshjou R, Ghassemi M.   +23 more
europepmc   +1 more source

Combining Hadamard Matrix, Discrete Wavelet Transform and DCT Features based on PCA and KNN for Image Retrieval

Majlesi Journal of Electrical Engineering
Image retrieval is one of the most applicable image processing techniques which have been used extensively. Feature extraction is one of the most important procedures used for interpretation and indexing images in content-based image retrieval (CBIR ...
Hassan Farsi, Sajad Mohamadzadeh
doaj