Results 101 to 110 of about 6,778 (208)
A Content-Based Image Retrieval Scheme Using an Encrypted Difference Histogram in Cloud Computing
Content-based image retrieval (CBIR) has been widely used in many applications. Large storage and computation overheads have made the outsourcing of CBIR services attractive.
Dandan Liu +3 more
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A New Technique for Image Retrieval Using its Contents
Most of the early research on content-based image retrieval (CBIR) has been focused on developing effective global features. While these researches establish the basis of CBIR, the retrieval performance is still far from users’ expectations.
Jalal H. Awad
doaj
Medical Image Retrieval: A Multimodal Approach
Medical imaging is becoming a vital component of war on cancer. Tremendous amounts of medical image data are captured and recorded in a digital format during cancer care and cancer research.
Yu Cao +6 more
doaj +1 more source
AUTOMATIC CHARACTERIZATION OF NEEDLEPUNCHED FELTS BY CONTENT BASED IMAGE RETRIEVAL - CBIR
The needled felts whose fibrous bats had been gotten by the classic carding process give us fabrics in which staple fibres follow a marked preferential direction of the machine workflow. This direction is named, as machine direction, main direction or MD and the perpendicular direction is known as cross direction or CD.
BELINO Nuno +3 more
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With the rapid expansion of digital image repositories, fast and accurate Content-Based Image Retrieval (CBIR) systems have become increasingly essential.
Amirhossein Roodaki +2 more
doaj +1 more source
Content-Based Image Retrieval (CBIR) in big histological image databases
Background: Automatic analysis of Histopathological Images (HIs) demands image processing and Computational Intelligence (CI) techniques. Both Computer-Aided Diagnosis (CAD) and Content-Based Image-Retrieval (CBIR) systems assist diagnosis, disease discovery, and biological decision-making.
Grata, Edwiges G. H. +7 more
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A Sub-block Based Image Retrieval Using Modified Integrated Region Matching
This paper proposes a content based image retrieval (CBIR) system using the local colour and texture features of selected image sub-blocks and global colour and shape features of the image.
Jacob, K. Poulose, Vimina, E. R.
core
Object extraction as a basic process for content-based image retrieval (CBIR) system
AbstractThis article describes the way in which image is prepared for content-based image retrieval system. Automated image extraction is crucial; especially, if we take into consideration the fact that the feature selection is still a task performed by human domain experts and represents a major stumbling block in the process of creating fully ...
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Review on Content Based Image Retrieval (CBIR) Technique
Prof. Vikram M Kakade, Ishwar A. Keche
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An approach for improving the performance of the Content-Based Image Retrieval (CBIR)
Amid rapidly increasing imagery inputs and their volume in a remote sensing imagery database, Content-Based Image Retrieval (CBIR) is an effective tool to search for an image feature or image content of interest a user wants to retrieve. It seeks to capture salient features from a 'query' image, and then to locate other instances of image region having
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