Results 11 to 20 of about 64,555 (258)
SPECTRAL ALGORITHM FOR CONTENT-BASED IMAGE RETRIEVAL
Colour images are rich in visual information. The process of searching for the most similar images in large-scale database based on visual features of query image is still a challenge in Content-Based Image Retrieval (CBIR) due to a semantic gap issue ...
Hanan A. Al-Jubouri, Sawsan M. Mahmmod
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Correlated Networks for Content Based Image Retrieval [PDF]
Efficient CBIR systems are based on three things, (1) how they represent the repository images in the form of signature; (2) how they measure the similarity of the database images with query image, (3) how they retrieve the semantically similar images in
Aun Irtaza, M. Arfan Jaffar, Eisa Aleisa
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CONTENT BASED BATIK IMAGE RETRIEVAL [PDF]
Content Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with ot her images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other
A. Haris Rangkuti +2 more
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A Study on Content-Based Image Retrieval [PDF]
The development of Internet causes an eruptive expansion of digital images, and also gives people more ways to get those images. Because the dissemination of video and image data in digital form has grown, Content Based Image Retrieval CBIR has become an eminent research topic. The importance of an effective technique in searching and retrieving images
Shabnam Kumari, Reema, Yashika Kadian
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Encrypted Image Retrieval System based on Features Analysis
– Content-based search provides an important tool for users to consume the ever-growing digital media repositories. However, since communication between digital products takes place in a public network, the necessity of security for digital images ...
Methaq Talib GAATA, Fadya Fouad Hantoosh
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Medical Image Retrieval: Past and Present [PDF]
With the widespread dissemination of picture archiving and communication systems (PACSs) in hospitals, the amount of imaging data is rapidly increasing. Effective image retrieval systems are required to manage these complex and large image databases. The
Kyung Hoon Hwang +2 more
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Content Based Image Retrieval (CBIR) by Statistical Methods
An image retrieval system is a computer system for browsing, looking and recovering pictures from a huge database of advanced pictures. The objective of Content-Based Image Retrieval (CBIR) methods is essentially to extract, from large (image) databases,
Fathala Ali et al.
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Content-based image retrieval by clustering [PDF]
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high feature similarities to the query may be very different from the query in terms of semantics. This is known as the semantic gap.
Yixin Chen 0002 +2 more
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Survey on the privacy-preserving content based image retrieval
With the widespread popularity of smart devices and social media, the number of image data is exponentially increasing. The data owners tend to outsource the local data to the cloud servers, where data is stored, shared and retrieved.
WU Ying, JIN Biao, JIN Rongrong, LI Xuan
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Adaptive Content-Based Medical Image Retrieval Based On Local Features Extraction In Shearlet Domain [PDF]
Image retrieval system is an urgent issue for in medicine. In the past, traditional image retrieval system based solely on the label of images and gave limited results.
Vo Tuyet +4 more
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