An Analytical Study on Implementation of Artificial Intelligence and Image Processing Techniques for Augmented Reality

2015 ◽  
Author(s):  
AN. P. Dananjay ◽  
Sridhar .
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Augmented Reality ◽  
Analytical Study ◽  
Image Processing Techniques ◽  
Processing Techniques

Surgeon Assistive Augmented Reality Model with the use of Endoscopic Camera for Line of Vision Calculation

2013 ◽  
pp. 658-674
Author(s):  
Anastasia Daskalaki ◽  
Kostas Giokas ◽  
Dimitris Koutsouris
Keyword(s):  
Image Processing ◽  
Augmented Reality ◽  
Situation Awareness ◽  
User Interfaces ◽  
Medical Data ◽  
Graphical User Interfaces ◽  
Ar Model ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Robotic Surgeries

In this paper, the authors describe a surgeon assistive Augmented Reality (AR) model for endoscopic procedures. They analyze the main parts of the model and the processes that need to be established such as, the registration of the patient, the segmentation of medical data, their 3D reconstruction, and the detection of endoscopic instruments and the camera. The authors present two graphical user interfaces, build to serve the needs of segmentation, navigation, and visualization of the final intra-operative scene. By using preoperative data of the patient (MRI-CT) and image processing techniques, the authors can provide a unique view of the surgical scene. The potentials and the advantages of endoscopic-robotic surgeries nowadays can be improved. Augmented surgery scenes with information about the patients underline structures, enables wider situation awareness, precision, and confidence.

scholarly journals PENGENALAN HURUF LATIN PADA ANAK USIA DINI DENGAN PENERAPAN METODE BACKPROPAGATION

2021 ◽  
Vol 2 (2) ◽  
pp. 130-137
Author(s):  
Slamet Riyadi ◽  
Zilvanhisna Emka Fitri ◽  
Arizal Mujibtamala Nanda Imron
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Early Childhood ◽  
Feature Extraction ◽  
Image Processing Techniques ◽  
Total Data ◽  
Backpropagation Method ◽  
Testing Accuracy ◽  
Processing Techniques ◽  
Pixel Mapping

Early childhood has difficulty remembering Latin letters or Roman characters than adults. Some of the factors that cause it are cognitive development, motivation, interest in learning, emotions and environmental factors. To overcome this, an innovative media is needed so that children can easily remember Latin letters. One of the innovative media applies digital image processing techniques and artificial intelligence. The fonts used are 10 types of letter models with image processing techniques such as preprocessing, binaryization, pixel mapping and creating vector as feature extraction.  While the artificial intelligence used is the backpropagation method. The total data is 208 letter images with 625 input features with 500 epochs, the best learning rate used by the system is 0.025 so that the best training accuracy is 93.96% and testing accuracy is 92.31%.

Surgeon Assistive Augmented Reality Model with the use of Endoscopic Camera for Line of Vision Calculation

2012 ◽  
Vol 1 (4) ◽  
pp. 25-42
Author(s):  
Anastasia Daskalaki ◽  
Kostas Giokas ◽  
Dimitris Koutsouris
Keyword(s):  
Image Processing ◽  
Augmented Reality ◽  
Situation Awareness ◽  
User Interfaces ◽  
Medical Data ◽  
Graphical User Interfaces ◽  
Ar Model ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Robotic Surgeries

In this paper, the authors describe a surgeon assistive Augmented Reality (AR) model for endoscopic procedures. They analyze the main parts of the model and the processes that need to be established such as, the registration of the patient, the segmentation of medical data, their 3D reconstruction, and the detection of endoscopic instruments and the camera. The authors present two graphical user interfaces, build to serve the needs of segmentation, navigation, and visualization of the final intra-operative scene. By using preoperative data of the patient (MRI-CT) and image processing techniques, the authors can provide a unique view of the surgical scene. The potentials and the advantages of endoscopic-robotic surgeries nowadays can be improved. Augmented surgery scenes with information about the patients underline structures, enables wider situation awareness, precision, and confidence.

Three-Dimensional Structure of Rotavirus-Fab Complex

1990 ◽  
Vol 48 (1) ◽  
pp. 238-239
Author(s):  
B.V.V. Prasad ◽  
E. Marietta ◽  
J.W. Burns ◽  
M.K. Estes ◽  
W. Chiu
Keyword(s):  
Image Processing ◽  
Smooth Surface ◽  
Three Dimensional ◽  
Outer Shell ◽  
Dimensional Structure ◽  
Structural Studies ◽  
Cell Penetration ◽  
Electron Cryomicroscopy ◽  
Image Processing Techniques ◽  
Processing Techniques

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.

A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

2020 ◽  
pp. 967-973
Author(s):  
V. Deepika ◽  
T. Rajasenbagam
Keyword(s):  
Image Processing ◽  
Brain Tumor ◽  
Soft Tissues ◽  
Tumor Detection ◽  
Tumor Classification ◽  
Normal Brain ◽  
Image Processing Techniques ◽  
Normal Brain Function ◽  
Processing Techniques ◽  
The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

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