Results 41 to 50 of about 479,431 (286)
Deep forgery discriminator via image degradation analysis
IET Image Processing, 2021 Generative adversarial network‐based deep generative model is widely applied in creating hyper‐realistic face‐swapping images and videos. However, its malicious use has posed a great threat to online contents, thus making detecting the authenticity of ...
Miaomiao Yu +5 more
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Object scale selection of hierarchical image segmentation with deep seeds
IET Image Processing, 2021 Hierarchical image segmentation is a prevalent technique in the literature for improving segmentation quality, where the segmentation result needs to be searched at different scales of the hierarchy to identify objects represented from various scales. In
Zaid Al‐Huda +3 more
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Interval-valued and intuitionistic fuzzy mathematical morphologies as special cases of L-fuzzy mathematical morphology [PDF]
, 2011 Mathematical morphology (MM) offers a wide range of tools for image processing and computer vision. MM was originally conceived for the processing of binary images and later extended to gray-scale morphology.
Deschrijver, Glad +5 more
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2D to 3D Image Conversion Algorithms [PDF]
ITM Web of ConferencesWith the emergence of Artificial Intelligence (AI), there are many applications for 3D computer vision, and different problems in diversified domains are being solved. Particularly deep learning and image processing techniques are widely used in computer
Mamand Samar Sabah +1 more
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BFGS method based variable projection approach for image restoration
IET Image Processing, 2021 In this paper, a variable projection approach based on the BFGS (Broyden–Fletcher–Goldfarb–Shanno) method for image reconstruction problems is proposed, which is an alternative to the common alternating minimisation scheme.
Qiong‐Ying Chen +4 more
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Vision Based Object Recognition and Localisation by a Wireless Connected Distributed Robotic Systems [PDF]
, 2012 Object recognition and localisation are important processes in computer vision and robotics. Advances in computer vision have resulted in many object recognition techniques, but most of them are computationally very intensive and require robots with ...
Ahmed, M. Shuja +2 more
core +2 more sources
Colour image segmentation based on a convex K‐means approach
IET Image Processing, 2021 Image segmentation is a fundamental and challenging task in image processing and computer vision. The colour image segmentation is attracting more attention as the colour image provides more information than the grey image. A variational model based on a
Tingting Wu +4 more
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Dense spatio‐temporal stereo matching for intelligent driving systems
IET Image Processing, 2021 This paper addresses the problem of matching stereo images acquired by a stereo system mounted aboard an intelligent vehicle. The main idea behind the new method consists in involving temporal matching between a current stereo pair and its preceding one ...
Zakaria Kerkaou +3 more
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Automatic X-ray Image Segmentation and Clustering for Threat Detection [PDF]
, 2017 Firearms currently pose a known risk at the borders. The enormous number of X-ray images from parcels, luggage and freight coming into each country via rail, aviation and maritime presents a continual challenge to screening officers.
Aouf, N. +3 more
core +4 more sources
Hierarchical guided network for low‐light image enhancement
IET Image Processing, 2021 Due to insufficient illumination in low‐light conditions, the brightness and contrast of the captured images are low, which affect the processing of other computer vision tasks.
Xiaomei Feng, Jinjiang Li, Hui Fan
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