Implications of Digital Image Processing in the Paraclinical Assessment of the Partially Edentated Patient

2018 ◽  
Vol 69 (2) ◽  
pp. 521-524
Author(s):  
Magda Ecaterina Antohe ◽  
Doriana Agop Forna ◽  
Cristina Gena Dascalu ◽  
Norina Consuela Forna
Keyword(s):  
Image Processing ◽  
Image Enhancement ◽  
Treatment Plan ◽  
Digital Processing ◽  
Contour Detection ◽  
Anatomical Structures ◽  
Imaging Processing ◽  
Point To Point ◽  
Radiological Image ◽  
Processing Techniques

The application of certain digital processing techniques offers the possibility of extra accuracy in the interpretation of paraclinical examinations of this type, with profound implications in the diagnosis as well as in the hierarchy of the treatment plan. The purpose of this study is to identify the type of imaging processing for the identification of pathological elements from orthopantomographies and articular tomographies. A number of 20 orthopantomographies and 15 temporo-mandibular joint tomography have undergone through various image enhancement techniques. Various methods of image enhancement (enhancement) have been used for those procedures whereby it becomes more useful in the following aspects: specific details are highlighted; noise is eliminated; the image becomes more visually attractive. The workings were done in Corel PhotoPaint 7.0, using the automatic procedures available.The choice of a particular type of image enhancement technique has been selected for each type of pathology found in orthopantomographies or articular tomography, providing the best accuracy for an optimal imaging interpretation that underpins a precision diagnosis.Of the most useful imaging processing in the optimization of the orthopantomographic image accuracy the point-to-point transformations are to be noted. The image processing proposed in this article focused primarily on improving the radiological image attributes to highlight specific anatomical structures, and secondly, the contour detection, where it was necessary for the diagnostic purposes as well.

IR and Multi Scale Retinex image Enhancement for Concealed Weapon Detection

2016 ◽  
Vol 1 (2) ◽  
pp. 399 ◽  
Author(s):  
Nashwan Jasim Hussein ◽  
Fei Hu ◽  
Hao Hu ◽  
Abdalrazak Tareq Rahem
Keyword(s):  
Image Processing ◽  
Image Enhancement ◽  
Infrared Images ◽  
Image Processing Techniques ◽  
Multi Scale ◽  
Concealed Weapon Detection ◽  
Contrast Stretching ◽  
Processing Techniques ◽  
Evaluation Techniques

A Concealed Weapon Detection (CWD) had been developed by a large number of researchers and technologies. As a result of the weakness of the infrared images in unique altogether graphic items, infrared and MMW images become inaccurate and insufficient to obviously detectand deal withweaponry objectsin an invisible setting. This article uses Multi Scale Retinex and contrast stretching image processing enhancement techniques to improve the recognition of weapons concealed below attire. Specifically, the focus of the study is on detecting weapons and ammos by enhancing the IR pictures based on image processing techniques. Evaluation techniques were empirically proved to be able to show the enhancement percentage progress.

scholarly journals Brain Tumor Detection by using Fcm Algorithm

2020 ◽  
Vol 9 (4) ◽  
pp. 1856-1862
Keyword(s):  
Image Processing ◽  
Input Image ◽  
Contour Detection ◽  
Optimization Techniques ◽  
Video Frame ◽  
Image Process ◽  
Core Analysis ◽  
Accuracy Level ◽  
Process System ◽  
Processing Techniques

capable of changing a picture into digital type and it perform operations on image. In image process, input is a picture (may be a video frame or a photograph in any format) and therefore the output is also a picture or the characteristics of the input image. Image process system sometimes considers a picture as a 2 dimensional signal, whereas process. It’s one in all the rising technologies, with its branches of application widespread into many domains of business. Image process may be a core analysis in space engineering and it additionally acts as a thrust space in alternative disciplines of applied science. Researchers would like to do perform research in image processing; because it offers real time applications and therefore the results derived from image processing techniques are created. In this paper we have discussed about the greedy snake segmentation, snake contour detection and fcm optimization techniques for segmenting the tumor image, the accuracy level is increased up to 90% compared with the existing algorithm.

scholarly journals Detection and Contouring of BAU-Kul using Image Processing Techniques

2019 ◽  
Vol 23 (2) ◽  
pp. 15-25
Author(s):  
MM Rahman ◽  
MMH Oliver
Keyword(s):  
Image Processing ◽  
High Accuracy ◽  
Contour Detection ◽  
Average Error ◽  
Market Prices ◽  
Image Processing Techniques ◽  
Random Samples ◽  
Automated Grading ◽  
Processing Techniques ◽  
Locally Grown

Automated grading and sorting of fruits during harvesting period are needed for securing better market prices. In order to introduce such automation facilities in Bangladesh, edging and contouring information of the locally grown fruits is important. This study reports the first endeavor towards the use of image processing techniques for a popular jujube variety (BAU-Kul) in Bangladesh. Image processing techniques were used for segmentation, and contouring on the basis of color Thresholding, edge detection and contour detection in Python-OpenCV software. Six random samples of BAU-Kul fruit were used for the research. Perimeter lengths obtained from the image analysis of the six samples ranged from 17.9 cm to 20.20 cm with an average of 19.29 (±1.02) cm. The measured lengths on the other hand, varied from 16.2 cm to 19.1 cm with an average of 17.75 (±1.3) cm. Consequently, the average error in calculation was limited to only 7.98%. This indicates the fact that images captured through mobile devices can be used for detection and contouring of BAU-Kul samples with fairly high accuracy (92.02%). These information provides a foreground basis of automation for the grading and sorting systems of BAU-Kul fruits in Bangladesh. Ann. Bangladesh Agric. (2019) 23(2) : 15-25

scholarly journals Image Processing for Technological Diagnostics of Metallurgical Facilities

2012 ◽  
Vol 12 (4) ◽  
pp. 66-76 ◽  
Author(s):  
Lyubka Doukovska ◽  
Venko Petkov ◽  
Emil Mihailov ◽  
Svetla Vassileva
Keyword(s):  
Image Processing ◽  
Wavelet Transforms ◽  
Digital Processing ◽  
Processing Technique ◽  
Image Processing Technique ◽  
One Dimensional ◽  
Image Processing Techniques ◽  
Digital Image Processing Technique ◽  
Multidimensional Signals ◽  
Processing Techniques

Abstract The paper presents an overview of the image-processing techniques. The set of basic theoretical instruments includes methods of mathematical analysis, linear algebra, probability theory and mathematical statistics, theory of digital processing of one-dimensional and multidimensional signals, wavelet-transforms and theory of information. This paper describes a methodology that aims to detect and diagnose faults, using thermographs approaches for the digital image processing technique.

scholarly journals Method for estimating leaf coverage in strawberry plants using digital image processing

2016 ◽  
Vol 20 (8) ◽  
pp. 716-721
Author(s):  
Juan D. Sandino ◽  
Olga L. Ramos-Sandoval ◽  
Darío Amaya-Hurtado
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Detection Threshold ◽  
Crop Evolution ◽  
Contour Detection ◽  
Evolution Analysis ◽  
Image Acquisition System ◽  
Processing Techniques ◽  
Non Destructive

ABSTRACT In farming the measurement of leaf coverage is considered as an exhaustive task for the researchers due to most of the time they do not have access to the adequate tool for this purpose. A new algorithm, implemented in this investigation, allows to estimate by means of a non-destructive method, the leaf coverage value of strawberry plants (fragaria x ananassa) of the cultivar Albion in the Cajicá region, Colombia, by using digital image processing techniques ( DPI). The DPI based technique includes the smoothing, dilatation, contour detection, threshold and edges detection operations. The image acquisition system was conducted by means of photographic images in plants in study, directly from the beds of the crop and the captures were subsequently processed through the proposed algorithm. The obtained results show the measured values of the plants leaf coverage in cm2, with up to 90% of accuracy. This system gives an important contribution to the crop evolution analysis by computational tools, making easier the monitoring work.

scholarly journals Image processing methods integrated to imaging and material characterisation for the study of incunabula illustrations: an innovative multi-analytical approach on a case-study

2020 ◽  
Vol 18 (1) ◽  
pp. 362-374
Author(s):  
Silvia Bottura Scardina ◽  
Filipe Themudo Barata ◽  
Alice Nogueira Alves ◽  
Catarina Miguel
Keyword(s):  
Image Processing ◽  
Analytical Approach ◽  
Digital Processing ◽  
British Library ◽  
Lead White ◽  
Imaging Studies ◽  
Material Characterisation ◽  
Nir Imaging ◽  
Processing Techniques

This study focuses on the application of a multi-analytical approach combining image processing techniques, imaging studies and material characterisation of a French late fifteen-early sixteen century incunabulum – the BPE, Inc.438. The first study goal was to verify the potential of computational methods in NIR imaging to retrieve accurate reconstructions of the engraving printings by Germain Hardouyn. For this aspect, two representative scenes were chosen: Trinity, f.8r; Saint Anthony the Abbot, f.61v. The applied methodology allowed faster creation of digital reconstructions while the material analysis proved the use of azurite, malachite, vermilion, lead white and ochres, and their NIR response was assessed in the context of the digital processing. The second goal was to make a comparison between chosen illuminations and engraved references of the same representations from two incunabula of the British Library, unravelling the illuminator’s intentional iconographic alteration based on visual and theological criteria.

Sign in / Sign up

Export Citation Format

Share Document