A novel image retrieval scheme using gray level co-occurrence matrix descriptors of discrete cosine transform based residual image
Several CBIR schemes have been devised by the formation of the low dimensional image
feature vector from the primitive visual features such as color, texture and/or shape of the …
feature vector from the primitive visual features such as color, texture and/or shape of the …
New content‐based image retrieval system based on optimised integration of DCD, wavelet and curvelet features
S Fadaei, R Amirfattahi… - IET Image …, 2017 - Wiley Online Library
A new content‐based image retrieval (CBIR) scheme is proposed based on the optimised
combination of the colour and texture features to enhance the image retrieval precision. This …
combination of the colour and texture features to enhance the image retrieval precision. This …
Principal texture direction based block level image reordering and use of color edge features for application of object based image retrieval
In this paper, the authors have presented a novel content-based image retrieval (CBIR)
scheme based on the combination of color, shape, and texture visual image features …
scheme based on the combination of color, shape, and texture visual image features …
Retrieval of colour and texture images using local directional peak valley binary pattern
Many content-based image retrieval (CBIR) methods are being developed to store more and
more information about images in shorter feature vectors and to improve image retrieval …
more information about images in shorter feature vectors and to improve image retrieval …
[PDF][PDF] Integration of color and texture features in CBIR system
Nowadays, rapid and effective searching for relevant images in large image databases has
become an area of wide interest in many applications. The current image retrieval system is …
become an area of wide interest in many applications. The current image retrieval system is …
Content-based image retrieval by integrating color and texture features
XY Wang, BB Zhang, HY Yang - Multimedia tools and applications, 2014 - Springer
Content-based image retrieval (CBIR) has been an active research topic in the last decade.
Feature extraction and representation is one of the most important issues in the CBIR. In this …
Feature extraction and representation is one of the most important issues in the CBIR. In this …
A modified similarity measurement for image retrieval scheme using fusion of color, texture and shape moments
N Varish - Multimedia Tools and Applications, 2022 - Springer
In this paper, a simple feature fusion scheme is proposed for content-based image retrieval
(CBIR) using color, texture and shape feature moments. The low dimensional feature …
(CBIR) using color, texture and shape feature moments. The low dimensional feature …
Image retrieval based on non-uniform bins of color histogram and dual tree complex wavelet transform
Abstract Traditional Content-Based Image Retrieval (CBIR) systems were developed for
retrieving similar kinds of images from a whole image database based on the given query …
retrieving similar kinds of images from a whole image database based on the given query …
Content-based image retrieval using multi-scale averaging local binary patterns
Feature extraction has a significant impact on the accuracy of Content-Based Image
Retrieval (CBIR) algorithms since the content of images is encoded in feature vectors. In this …
Retrieval (CBIR) algorithms since the content of images is encoded in feature vectors. In this …
[PDF][PDF] Efficient use of texture and color features in content based image retrieval (CBIR)
ABSTRACT Content-Based Image Retrieval (CBIR) systems have been developed to
support the image retrieval based on image properties, such as shape, color and texture. In …
support the image retrieval based on image properties, such as shape, color and texture. In …