A review on content-based image retrieval system: Present trends and future challenges
The issues of getting similar images with better accuracy is now a challenge in content-
based image retrieval (CBIR) system due to exponential rising volume of image databases …
based image retrieval (CBIR) system due to exponential rising volume of image databases …
Multi-objective whale optimization algorithm for content-based image retrieval
MAE Aziz, AA Ewees, AE Hassanien - Multimedia tools and applications, 2018 - Springer
In the recent years, there are massive digital images collections in many fields of our life,
which led the technology to find methods to search and retrieve these images efficiently. The …
which led the technology to find methods to search and retrieve these images efficiently. The …
A fractional filter based efficient algorithm for retinal blood vessel segmentation
This paper presents a new fractional filter and an algorithm for retinal blood vessel
segmentation. The proposed fractional filter is designed with the help of a weighted …
segmentation. The proposed fractional filter is designed with the help of a weighted …
A novel feature descriptor for image retrieval by combining modified color histogram and diagonally symmetric co-occurrence texture pattern
AK Bhunia, A Bhattacharyya, P Banerjee… - Pattern Analysis and …, 2020 - Springer
In this paper, we have proposed a novel feature descriptors combining color and texture
information collectively. In our proposed color descriptor component, the inter-channel …
information collectively. In our proposed color descriptor component, the inter-channel …
Image retrieval scheme using quantized bins of color image components and adaptive tetrolet transform
In this paper, a three stage hierarchical image retrieval scheme using a color, texture and
shape visual contents (or descriptors) is proposed, since single visual content is not produce …
shape visual contents (or descriptors) is proposed, since single visual content is not produce …
A novel image retrieval method based on multi-features fusion
D Niu, X Zhao, X Lin, C Zhang - Signal Processing: Image Communication, 2020 - Elsevier
Image retrieval is an important research topic in pattern recognition and computer vision. We
propose a novel content-based image retrieval method. At the image description stage, our …
propose a novel content-based image retrieval method. At the image description stage, our …
V2t: video to text framework using a novel automatic shot boundary detection algorithm
The generation of natural language descriptions for a video has been reported by many
researchers till now. But, it is still the most interesting research topic among the researchers …
researchers till now. But, it is still the most interesting research topic among the researchers …
Directional local ternary co-occurrence pattern for natural image retrieval
Content based image retrieval (CBIR) systems provide a faster way to retrieve images by
representing them in terms of their visual contents. In this paper, a novel texture feature …
representing them in terms of their visual contents. In this paper, a novel texture feature …
Features fusion based novel approach for efficient blood vessel segmentation from fundus images
Insufficient blood flow within the retinal vessels is believed to be the root cause of several
optical problems, including partial vision loss and blindness. The appearance and growth of …
optical problems, including partial vision loss and blindness. The appearance and growth of …
HSV color histogram based image retrieval with background elimination
U Erkut, F Bostancıoğlu, M Erten… - 2019 1st …, 2019 - ieeexplore.ieee.org
In this study, a new content based image retrieval (CBIR) method, which uses HSV
histogram data is proposed. The model uses the HSV histogram to find the background from …
histogram data is proposed. The model uses the HSV histogram to find the background from …