An adaptive level set method based on joint estimation dealing with intensity inhomogeneity
IET Image Processing, 2021 Automatic object segmentation has been a challenging task due to intensity inhomogeneity. The traditional way is to eliminate the intensity inhomogeneity, which causes the object to lose useful intensity information. The authors propose an adaptive level
Jiang Zhu +4 more
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IMAGE-BASED MODELING TECHNIQUES FOR ARCHITECTURAL HERITAGE 3D DIGITALIZATION: LIMITS AND POTENTIALITIES [PDF]
, 2013 3D reconstruction from images has undergone a revolution in the last few years. Computer vision techniques use photographs from data set collection to rapidly build detailed 3D models.
DI PAOLA, Francesco +2 more
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Capital Letter Pattern Recognition in Text to Speech by Way of Perceptron Algorithm
Knowledge Engineering and Data Science, 2017 Computer vision is a data transformation retrieved or generated from webcam into another form in means of determining decision. All kinds of transformations are carried through to attain specific aims.
Novan Wijaya
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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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