Automated measurements of lumbar lordosis in T2-MR images using decision tree classifier and morphological image processing

Masad, Ihssan S.; Al–Fahoum, Amjed S.; Abu-Qasmieh, Isam

doi:10.1016/j.jestch.2019.03.002

Cited by 9 publications

(5 citation statements)

References 42 publications

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“…This morphological process uses a small (radius of 1) disk-shaped structure element. It aims to reduce the false positive spots and away extrusions from the spine region [25].…”

Section: ) Erosionmentioning

confidence: 99%

Implementation of Gabor Wavelet and Support Vector Machine for Braille Recognition

Perwira¹,

Florestiyanto²,

Nurjanah³

et al. 2022

International Journal on Advanced Science, Engineering and Information Technology

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Visually impaired people use braille letters to write and read, which not all people with normal vision can read. It causes parents of children with impaired vision to have difficulties in assisting them in learning at home. At the same time, the involvement of parents in children's learning assistance is needed to monitor their learning progress. In this research, braille letters are identified through images taken using a scanner as a tool to input the images. Then, the Canny edge detection method is used obtain all the edges of each braille dot. Feature extraction is applied to obtain all characteristics of each letter, and the method used is the Gabor Wavelet. The features which are utilized include standard deviation, mean, variance, and median with a theta angle of 0 0 , 30 0 , 45 0 , 60 0 , 120 0 , 135 0 , 180 0 and wavelengths of 3, 6, 13, 28, and 58. These features are combined and used as test data and training data for the Support Vector Machine (SVM) classification stage and produce letters and words in alphabetic letter forms. Braille letters that can be identified in this research are small letters, capital letters, punctuation marks, and numbers. Tests are carried out using a multi-class confusion matrix scenario to determine the level of accuracy, precision, and recall. Based on the results of the tests conducted using 758 braille letters, the accuracy value is 98.15%; the precision value is 97.66%; and the recall value is 98.28%.

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“…This morphological process uses a small (radius of 1) disk-shaped structure element. It aims to reduce the false positive spots and away extrusions from the spine region [25].…”

Section: ) Erosionmentioning

confidence: 99%

Implementation of Gabor Wavelet and Support Vector Machine for Braille Recognition

Perwira¹,

Florestiyanto²,

Nurjanah³

et al. 2022

International Journal on Advanced Science, Engineering and Information Technology

View full text Add to dashboard Cite

show abstract

“…The obstacle detection experiment was done in two parts to anticipate when the user walks on a braille block and encounters an unexpected obstacle. If there was an obstacle on the braille block, the ultrasonic sensor warns the user of an obstacle within 50 [cm], and if the braille block is broken, an algorithm for expanding the morphology calculation is used [36]. There are two morphology operations, erosion, and expansion.…”

Section: B Obstacle Recognitionmentioning

confidence: 99%

An Application on Visual Cognitive Assistance system for Braille Block Recognition Based on Raspberry Pi System

Kim¹,

Lee²,

Son³

et al. 2021

International Journal on Advanced Science, Engineering and Information Technology

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There are many visually impaired people living their lives throughout the world. As of now, the only realistic tools available for these people are white sticks and guide dogs. However, these visual aids are insufficient for handling unexpected obstacles in various environments. Accidents tend to occur frequently, and these aids are very costly, thus limiting their usefulness for the visually impaired. This paper aims to develop a visual aid cognitive system and explores the possibility of practical performance. The overall system configuration uses the Raspberry Pi and OpenCV in real-time to capture braille block images and recognize the braille blocks' pattern. It also gathers information about the surrounding environment before conveying the information to the user. In the first phase, the Go/Stop signal is determined by the linear or circular braille block according to the type of braille block. In the second phase, the visual aid system equipped with an ultrasonic sensor warns the user when encountering an obstacle so that the user can walk safely. We implemented a text recognition system based on a Text-to-Speech converter that transmits the text recognition information to the visually impaired and tested TTS function to read various street signs with various fonts. We lastly discuss the future possibility for our auxiliary system in various road environments and how it can be improved to help visually impaired people.

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“…Based on the method used for the model in a previously published article [2], a gas leakage monitoring and earlywarning model could be established through regressing and fitting the simulated data [12]- [17], in which the gas leakage orifice diameter was x, leakage time was y, and sulfur hexafluoride gas concentration was z. Table 2 shows the model of monitoring point 24 for a leak occurring at point 1 [2].…”

Section: Gas Leakage Monitoring and Early-warning Model 1) Building The Modelmentioning

confidence: 99%

Sulfur Hexafluoride Gas Leakage Monitoring and Early-Warning Method for Electrical Power Facilities

et al. 2020

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Most transformer substations in power supply facilities rely on sulfur hexafluoride electrical equipment. A sulfur hexafluoride gas leak can cause serious health concerns if effective measures are not adopted in time. Therefore, in this study, a sulfur hexafluoride gas leakage monitoring, early-warning, and emergency disposal model was established. First, taking the main transformer chamber of an underground transformer substation as the research object, a 3D-model was built, and a numerical simulation was performed. Second, the simulation results were utilized to determine the dispersion and concentration distribution of the sulfur hexafluoride gas, identify concentration-sensitive areas, and arrange sensors based on the simulation results, to ensure early-warning in case of leaks. Then, a sulfur hexafluoride gas leakage monitoring and early-warning model was built based on the data collected using sensors at the monitoring points; thereafter, a construction method was developed for a sulfur hexafluoride gas leakage emergency disposal model, which can be referenced to establish a leakage gas recycling system. This paper also provides some recommendations regarding the determination of the optimal conditions for this emergency recycling device, which can be utilized to maintain the concentration of sulfur hexafluoride gas below a specified value and to construct a recycling time prediction model. The results of the study can provide a theoretical basis for sulfur hexafluoride gas leakage early-warning and emergency disposal, which will contribute to the prevention of suffocation-related accidents.

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Automated measurements of lumbar lordosis in T2-MR images using decision tree classifier and morphological image processing

Cited by 9 publications

References 42 publications

Implementation of Gabor Wavelet and Support Vector Machine for Braille Recognition

Implementation of Gabor Wavelet and Support Vector Machine for Braille Recognition

An Application on Visual Cognitive Assistance system for Braille Block Recognition Based on Raspberry Pi System

Sulfur Hexafluoride Gas Leakage Monitoring and Early-Warning Method for Electrical Power Facilities

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