Visual saliency guided complex image retrieval
Compared with the traditional text data, multimedia data are concise and contains rich
meanings, so people are more willing to use the multimedia data to store information. How …
meanings, so people are more willing to use the multimedia data to store information. How …
Small lung nodules detection based on fuzzy-logic and probabilistic neural network with bioinspired reinforcement learning
Internal organs, like lungs, are very often examined by the use of screening methods. For
this purpose, we present an evaluation model based on a composition of fuzzy system …
this purpose, we present an evaluation model based on a composition of fuzzy system …
Small lung nodules detection based on local variance analysis and probabilistic neural network
Background and objective In medical examinations doctors use various techniques in order
to provide to the patients an accurate analysis of their actual state of health. One of the …
to provide to the patients an accurate analysis of their actual state of health. One of the …
Local derivative radial patterns: A new texture descriptor for content-based image retrieval
In this paper, we propose a novel local pattern descriptor called Local Derivative Radial
Pattern (LDRP) for texture representation in content-based image retrieval. All prior local …
Pattern (LDRP) for texture representation in content-based image retrieval. All prior local …
Detection and recognition of stationary vehicles and seat belts in intelligent Internet of Things traffic management system
Z Wang, Y Ma - Neural Computing and Applications, 2022 - Springer
The increase in the size of the city and the increase in population mobility have greatly
increased the number of vehicles on the road, and at the same time brought considerable …
increased the number of vehicles on the road, and at the same time brought considerable …
Deep features based medical image retrieval
In this paper, deep convolutional neural network model is developed for classification and
image retrieval purpose. Deep learning techniques obtained deep features from different …
image retrieval purpose. Deep learning techniques obtained deep features from different …
[HTML][HTML] Directional local ternary quantized extrema pattern: a new descriptor for biomedical image indexing and retrieval
This paper proposes a new pattern descriptor called directional local ternary quantized
extrema pattern (DLTerQEP) for biomedical image indexing and retrieval. The standard local …
extrema pattern (DLTerQEP) for biomedical image indexing and retrieval. The standard local …
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 …
3D local ternary co-occurrence patterns for natural, texture, face and bio medical image retrieval
In this paper, a novel feature called three dimensional local ternary co-occurrence pattern
(3D-LTCoP) is proposed for natural, texture, face and biomedical image retrieval. Standard …
(3D-LTCoP) is proposed for natural, texture, face and biomedical image retrieval. Standard …
Local energy oriented pattern for image indexing and retrieval
A novel image indexing algorithm for Content Based Image Retrieval (CBIR) using Local
Energy Oriented Patterns (LEOP) is proposed in this paper. LEOP encodes pixel level …
Energy Oriented Patterns (LEOP) is proposed in this paper. LEOP encodes pixel level …