Augmented 3D venous navigation for neuroendovascular procedures

2017 ◽  
Vol 10 (7) ◽  
pp. 649-652 ◽  
Author(s):  
Raphaël Blanc ◽  
Robert Fahed ◽  
Pascal Roux ◽  
Stanislas Smajda ◽  
Gabriele Ciccio ◽  
...  
Keyword(s):  
Contrast Media ◽  
Venous Access ◽  
Processing Technique ◽  
Cerebrovascular Diseases ◽  
Image Processing Technique ◽  
Philips Healthcare ◽  
Carotid Cavernous Fistula ◽  
Venous Stenting ◽  
Safe Technique

BackgroundEndovascular venous access is increasingly used for the treatment of many cerebrovascular diseases. The quality of venous roadmapping through arterial injection can be problematic because of contrast media dilution, slow flow velocity, and unilateral opacification of the venous system.ObjectiveTo describe our experience with the VesselNavigator (Philips Healthcare, Best, The Netherlands) in performing live 3D roadmapping for intracranial venous procedures.Material and methodsLive 3D roadmapping is an image-processing technique that allows dynamic roadmapping of vessels with immediate adaptation to the C-arm movements without the need for contrast injection. For this purpose, 3D MR venography is overlaid on live fluoroscopy images after semiautomatic coregistration. The technique was applied to cases of idiopathic venous stenosis and arteriovenous fistula.ResultsThe process of coregistration was performed by the principal operator in <5 min, just before the treatment. The accuracy was controlled peroperatively and was judged satisfactory. Three illustrative cases demonstrate the use of this software for venous navigation and pressure measurement (case 1), venous stenting (case 2), and transvenous embolization of a carotid-cavernous fistula (case 3).ConclusionOur preliminary experience suggests that it is a feasible and safe technique for intracranial venous navigation and procedures. The potential lowering of overall radiation dose and contrast media use needs to be verified with further studies.

Compact Disc Visual Inspection Using Neural Network

2012 ◽  
Vol 433-440 ◽  
pp. 727-732
Author(s):  
Anton Satria Prabuwono ◽  
Siti Rahayu Zulkipli ◽  
Doli Anggia Harahap ◽  
Wendi Usino ◽  
A. Hasniaty
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Visual Inspection ◽  
Processing Technique ◽  
Compact Disc ◽  
Image Processing Technique ◽  
Accuracy Rate ◽  
Network Training ◽  
Fields Of Study

Image processing is widely used in various fields of study including manufacturing as product inspection. In compact disc manufacturing, image processing has been implemented to recognize defect products. In this research, we implemented image processing technique as pre-processing processes. The aim is to acquire simple image to be processed and analyzed. In order to express the object from the image, the features were extracted using Invariant Moment (IM). Afterward, neural network was used to train the input from IM’s results. Thus, decision can be made whether the compact disc is accepted or rejected based on the training. Two experiments have been done in this research to evaluate 40 datasets of good and defective images of compact discs. The result shows that accuracy rate increased and can identify the quality of compact discs based on neural network training.

scholarly journals AUTOMATIC NUMBER PLATE RECOGNITION FOR DIFFERENT FONTS AND NON-ROMAN SCRIPT

2021 ◽  
Vol 5 (11) ◽  
Author(s):  
Kirad Varad Vinay ◽  
Indla Omkar Balaobaiah ◽  
Mujawar Sohail Mahiboob ◽  
Shinde Dinesh Nagnath ◽  
Prof. Darshana Patil
Keyword(s):  
Image Processing ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Red Light ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Learning Technology ◽  
Size Number ◽  
Roman Script

According to survey taken the total number of vehicles in [1] India were 260 million. Therefore, there is a need to develop Automatic Number Plate Recognition (ANPR) systems [1] in India because of the large number of vehicles travelling on the roads. [1] It would also help in proper tracking of the vehicles, traffic examining, finding stolen vehicles, supervising parking toll and imposing strict actions against red light breaching. Automatic number plate recognition is image processing technique for finding number plate from image and extracting characters from detected number plate. ANPR in India has always been challenging due to different lighting conditions, changes in fonts, shapes, angles, letters size, number of lines and padding between lines, different languages used. In our project we proposed a model that can detects number plate with considering all irregularities. this system uses Computer vision and machine learning technology in order to detect number plate from image. In our proposed system number plate can be of different fonts and non-roman script. For identification of characters from number plate we use OCR (Optical character recognition) technique. OCR involves two parts: Character segmentation and Character Recognition. This OCR system can be used to extract characters of different fonts and non-roman script. The Quality of OCR depends on the quality of image, image contrast, text font style and size. To improve quality of OCR we can use image processing technique to enhance quality of image.

scholarly journals Improved Image Processing Techniques for User Immersion Problem Alleviation in Virtual Reality Environments

2020 ◽  
Vol 2 (2) ◽  
pp. 77-84
Author(s):  
Dr. Dhaya R.
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Processing Speed ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Image Processing Techniques ◽  
Processing Techniques

The latest advertisements on the advancements of the virtual reality has paved way for diverse studies, in manifold fields that can benefit by utilizing the technologies of the virtual reality, not excluding the design, gaming and the simulated understanding. Yet whenever a virtual reality device conveys information in form of images with the assistance of the display that is positioned closer to the user’s eyes it faces problems like minimizing the speed of the process and degradation in the quality of images ending up in huge variations across the virtual realism and the realism causing user immersion problems. So to mitigate the immersion problems of the user because of the low quality of image and the minimization of processing speed in the virtual reality environments the paper puts forth an improved image processing technique to improvise the sharpness of the images in order to enhance quality of the images and heighten the processing speed.

scholarly journals Can the Image Processing Technique Be Potentially Used to Evaluate Quality of Frying Oil?

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Patchimaporn Udomkun ◽  
Bhundit Innawong ◽  
Wantakan Sopa
Keyword(s):  
Image Processing ◽  
Contact Angle ◽  
Vision System ◽  
Processing Technique ◽  
Frying Oil ◽  
Image Processing Technique ◽  
Frying Time ◽  
Polar Materials ◽  
Highly Correlated

The objective of this study was to investigate the feasibility of a computer vision system (CVS) for assessing the contact angle of frying oil. The oil was used to fry carbohydrate- and protein-based foods for 40 h, and the oil was collected for measuring free fatty acids (FFA), peroxide value (PV), total polar materials (TPMs), and FOS reading (dielectric constant). The results showed that FFA linearly increased with frying time (R2 > 0.95) while the polynomial correlation between TPMs and FOS reading as a result of time was observed (R2 > 0.97). The contact angle obtained from CVS was highly correlated with all chemical qualities (R2 > 0.94), except PV. In addition, the contact angle models could be used to adequately predict FFA, TPMs, and FOS reading of frying oil (R2 > 0.91). This result suggested that the image processing technique through CVS could be an appropriate alternative to chemical analysis, especially for small- and medium-scale industrial frying.

Research on the Deformation Characteristic of EPS Silt Light-Weight Soil

2014 ◽  
Vol 953-954 ◽  
pp. 1614-1617
Author(s):  
Yong Feng ◽  
Yu Bin Pei
Keyword(s):  
Fractal Theory ◽  
Deformation Characteristic ◽  
Estimation Method ◽  
Processing Technique ◽  
Test Method ◽  
Image Processing Technique ◽  
Light Weight ◽  
Soil Microstructure ◽  
Deformation Parameters

EPS silt light-weight soil is a good artificial earthfill material made by EPS foaming materials and silt. At present,the microstructure character of this light-weight soil is rarely understood,besides, it is very difficult to hold the reasonable deformation parameters, therefore, study on the microstructure mechanism and deformation parameters of EPS silt light-weight soil is very important. Based on the image processing technique and fractal theory, the quantitative parameters and the transformation features under the loading process of the EPS silt light-weight soil microstructure can be researched by XRD and SEM tests. According to the indoor and insitu tests, the effect of EPS grain deformation, soilcement strength, test method and the stress level on the deformation characteristic is to be studied by analysing microstructure transformation. Based on the test results and related theory analysis, the relationship between the microstructure character and macroscopical deformation quality of EPS silt light-weight soil will be synthetically approached, the reasonable estimation method of deformation parameters will be discussed, the related research results above will give a favorable theoretical sustentation for the application and expansion of this environmental protection technique.

scholarly journals AN IMAGE-PROCESSING TECHNIQUE FOR GLAUCOMA DETECTION ON THE BASIS OF OPHTHALMIC IMAGES

2015 ◽  
pp. 165-171
Author(s):  
Maroua Ben Mansour ◽  
Yosra Mlouhi ◽  
Imed Jabri ◽  
Tahar Battikh ◽  
Lotfi Maalej ◽  
...  
Keyword(s):  
Processing Technique ◽  
Image Processing Technique ◽  
Motif Analysis ◽  
Morphological Filters ◽  
Analysis Techniques ◽  
Glaucoma Detection ◽  
New Strategy ◽  
The Relationship ◽  
Determining Factor

In this paper, a new strategy of observation and analysis of the ophthalmologic images in order to detect the glaucoma is presented. In fact, we have treated the imagery applied to the Retina and we were able to develop some algorithm of digital image treatment, and the motif analysis techniques for the detection of the optic disc. And to do this, we have exploited the pretreatment of the image techniques such as morphological filters to improve the quality of the image and the Canny filter for the edge detection. Under the framework of the detection of circular shapes, we have opted the use of Algorithm which is the most famous detector of shapes and Hough Transform to detect the Papilla and Excavation. All these images will be applied on the fundus in order to create software illustrating some techniques of the image treatment, capable of determining precisely the relationship between the excavation diameter and the Papilla diameter which is a determining factor in the diagnosis of the Glaucoma.

scholarly journals Harumanis mango leaf disease recognition system using image processing technique

2021 ◽  
Vol 23 (1) ◽  
pp. 378
Author(s):  
R. A. JM. Gining ◽  
S. S. M. Fauzi ◽  
N. M . Yusoff ◽  
T. R. Razak ◽  
M. H. Ismail ◽  
...  
Keyword(s):  
Image Processing ◽  
Recognition System ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Human Errors ◽  
Leaf Disease ◽  
Rgb Image

Current Harumanismango farming technique in Malaysia still mostlydepends on the farmers' own expertise to monitor the crops from the attack ofpests and insects. This approach is susceptible to human errors, and thosewho do not possess this skill may not be able to detect the disease at the righttime. As leaf diseases seriously affect the crop's growth and the quality of theyield, this study aims to develop a recognition system that detects thepresence of disease in the mango leaf using image processing technique.First, the image is acquired through a smartphone camera; once it has beenpre-processed, it is then segmented in which the RGB image is converted toan HSI image, then the features are extracted. Lastly, the classification ofdisease is done to determine thetype of leaf disease. The proposed systemeffectively detects and classify the disease with an accuracy of 68.89%. Thefindings of this project will contribute to farmers and society's benefit, andresearchers can use the approach to address similar issues in future works.

Interactive Remote Control System for Three Dimensional Displays

2011 ◽  
Vol 145 ◽  
pp. 73-77
Author(s):  
Yu Cheng Fan ◽  
Chang Wei Fan ◽  
Wei Chun Ting ◽  
Guan Fu Lee
Keyword(s):  
Image Processing ◽  
Control System ◽  
Remote Control ◽  
Three Dimensional ◽  
Processing Technique ◽  
Design Flow ◽  
Image Processing Technique ◽  
Remote Control System ◽  
Metals Processing

In this paper, we propose an interactive remote control system using image processing technique for three dimensional displays. In order to control three dimensional displays, we present an algorithm based on gestures recognition. Then we adopt cell-based design flow and 0.18μm TSMC single poly and six metals processing to perform the system chip. Besides, the SMIMS FPGA development board is used to achieve the system. The results prove the performance reaching the well quality of interactive remote control system for three dimensional displays.

Comparison of Machinability of Glass/Jute Fabric Polymer Composites

2013 ◽  
Vol 440 ◽  
pp. 42-46
Author(s):  
V. Sridharan ◽  
Muthukrishnan Nambi ◽  
S. Deivanayagam
Keyword(s):  
Polymeric Composite ◽  
Processing Technique ◽  
Natural Fibre ◽  
Image Processing Technique ◽  
Jute Fabric ◽  
Rate Analysis ◽  
Reinforced Composite ◽  
Composite Drilling ◽  
Different Levels

Natural fibre based composites are gaining more importance now-a-days due to their specific properties. The aim of this work is to present a comparison of machinability of jute fabric and glass fabric reinforced polymeric composite. Drilling was carried out in a Vertical Machining Centre using HSS twist drill of 6 mm diameter. The quality of hole is compared based on the delamination factor obtained by digital image processing technique, on both sides. Factorial design based experiments were conducted at different levels of speed and feed rate. Analysis Of Variance is done to study the influence of natural fibre on delamination. Results show that natural fibre reinforced composite has better machinability than synthetic fibre reinforced composite.

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