Reconstruction of tomographic images from limited range projections using discrete Radon transform and Tchebichef moments
XB Dai, HZ Shu, LM Luo, GN Han, JL Coatrieux - Pattern Recognition, 2010 - Elsevier
This paper presents an image reconstruction method for X-ray tomography from limited
range projections. It makes use of the discrete Radon transform and a set of discrete …
range projections. It makes use of the discrete Radon transform and a set of discrete …
Synthesizing dental radiographs for human identification
S Tohnak, AJH Mehnert, M Mahoney… - Journal of dental …, 2007 - journals.sagepub.com
The task of identifying human remains based on dental comparisons of post mortem (PM)
and ante mortem (AM) radiographs is labor-intensive, subjective, and has several …
and ante mortem (AM) radiographs is labor-intensive, subjective, and has several …
A mobile computer aided system for optic nerve head detection
Background and objective The detection of optic nerve head (ONH) in retinal fundus images
plays a key role in identifying Diabetic Retinopathy (DR) as well as other abnormal …
plays a key role in identifying Diabetic Retinopathy (DR) as well as other abnormal …
A new approach to image reconstruction from projections using a recurrent neural network
R Cierniak - International Journal of Applied Mathematics and …, 2008 - sciendo.com
A new neural network approach to image reconstruction from projections considering the
parallel geometry of the scanner is presented. To solve this key problem in computed …
parallel geometry of the scanner is presented. To solve this key problem in computed …
[HTML][HTML] A robust blind color watermarking algorithm based on the Radon-DCT transform
B Bao, Y Wang - Multimedia Tools and Applications, 2024 - Springer
Digital watermarking is an effective technique for image copyright protection. Many digital
image watermarking algorithms are sensitive to geometric distortions. These distortions …
image watermarking algorithms are sensitive to geometric distortions. These distortions …
The discrete Radon transform: a more efficient approach to image reconstruction?
A Kingston, I Svalbe, JP Guédon - Developments in X-ray …, 2008 - spiedigitallibrary.org
The Radon transform and its inversion are the mathematical keys that enable tomography.
Radon transforms are defined for continuous objects with continuous projections at all …
Radon transforms are defined for continuous objects with continuous projections at all …
Generalised finite Radon transform for N× N images
A Kingston, I Svalbe - Image and Vision Computing, 2007 - Elsevier
This paper extends the domain of the finite radon transform (FRT) to apply to square arrays
of arbitrary size. The FRT is a discrete formalism of the Radon transform that assumes the …
of arbitrary size. The FRT is a discrete formalism of the Radon transform that assumes the …
Projective transforms on periodic discrete image arrays
A Kingston, I Svalbe - Advances in Imaging and Electron …, 2006 - books.google.com
131....... 131 B........ 132 C....... 134 D....... 135 E........ 136....... 137....... 138....... 140....... 141.......
142....... 143....... 144....... 146....... 146....... 148....... 148....... 150....... 152 A........ 153 B........ 153 …
142....... 143....... 144....... 146....... 146....... 148....... 148....... 150....... 152 A........ 153 B........ 153 …
Reconstruction tomographique mojette
M Servières - 2005 - theses.hal.science
Une des thématiques abordée par l'équipe Image et Vidéo-Communication est la
reconstruction tomographique discréte à l'aide de la transformée Mojette. Ma thèse s' inscrit …
reconstruction tomographique discréte à l'aide de la transformée Mojette. Ma thèse s' inscrit …
[HTML][HTML] Neural network algorithm for image reconstruction using the “grid-friendly” projections
R Cierniak - Australasian Physical & Engineering Sciences in …, 2011 - Springer
The presented paper describes a development of original approach to the reconstruction
problem using a recurrent neural network. Particularly, the “grid-friendly” angles of …
problem using a recurrent neural network. Particularly, the “grid-friendly” angles of …