A new framework for canny edge detector in hexagonal lattice
Feature extraction is widely used in image processing applications such as face recognition,
character recognition, fingerprint identification and medicine. Edge features is among the …
character recognition, fingerprint identification and medicine. Edge features is among the …
[HTML][HTML] Hybrid bag-of-visual-words and FeatureWiz selection for content-based visual information retrieval
Recently, content-based image retrieval (CBIR) based on bag-of-visual-words (BoVW)
model has been one of the most promising and increasingly active research areas. In this …
model has been one of the most promising and increasingly active research areas. In this …
[HTML][HTML] DarwinGSE: Towards better image retrieval systems for intellectual property datasets
A trademark's image is usually the first type of indirect contact between a consumer and a
product or a service. Companies rely on graphical trademarks as a symbol of quality and …
product or a service. Companies rely on graphical trademarks as a symbol of quality and …
[HTML][HTML] A novel trademark image retrieval system based on multi-feature extraction and deep networks
Graphical Search Engines are conceptually used in many development areas surrounding
information retrieval systems that aim to provide a visual representation of results, typically …
information retrieval systems that aim to provide a visual representation of results, typically …
An efficient texture descriptor based on local patterns and particle swarm optimization algorithm for face recognition
Face recognition is used in many applications such as access control, automobile security,
criminal identification, immigration, healthcare, cyber security, and so on. Each person has …
criminal identification, immigration, healthcare, cyber security, and so on. Each person has …
[HTML][HTML] Gaze-Dependent Image Re-Ranking Technique for Enhancing Content-Based Image Retrieval
Content-based image retrieval (CBIR) aims to find desired images similar to the image input
by the user, and it is extensively used in the real world. Conventional CBIR methods do not …
by the user, and it is extensively used in the real world. Conventional CBIR methods do not …
An expert system based on type-1 fuzzy logic and digital image processing for knowledge based edge and contour detection
In computer vision, contour/edge detection is a crucial phenomenon. Edge detection is an
important step in contour detection, which is helpful in the identification of important data …
important step in contour detection, which is helpful in the identification of important data …
New texture descriptor based on improved orthogonal difference local binary pattern
S Fadaei, P Hosseini… - 2023 6th international …, 2023 - ieeexplore.ieee.org
Local descriptor plays an important role in Content-Based Image Retrieval (CBIR) and face
recognition. Almost all local patterns are based on the relationship between neighboring …
recognition. Almost all local patterns are based on the relationship between neighboring …
Neuromorphic computing spiking neural network edge detection model for content based image retrieval
Ambuj, R Machavaram - Network: Computation in Neural Systems, 2024 - Taylor & Francis
In contemporary times, content-based image retrieval (CBIR) techniques have gained
widespread acceptance as a means for end-users to discern and extract specific image …
widespread acceptance as a means for end-users to discern and extract specific image …
Applying Object Recognition to Improve Image Retrieval by Color Features
As the volume of data in the digital world increases, the need to efficiently extract information
from images becomes more and more important. One of the key aspects of image retrieval is …
from images becomes more and more important. One of the key aspects of image retrieval is …