Detection of Suspicions of Varicose Veins in the Legs using Thermal Imaging

Alvarado-Díaz²,

Flores-Medina³

et al. 2019

IJACSA

Self Cite

Diabetic foot is a chronic disease that occurs due to increased glucose levels, in addition to being the result of poorly controlled diabetes. In this case, the affected foot increases in temperature, because it contains accumulated blood. According to the Alianza para el Slvataje del Pie diabético en el Perú reported that currently has been increasing the cases of diabetic foot being 8% of the Peruvian population suffering from diabetic foot. Many research papers mention that the temperature difference of both feet has to be minimal due to the homogeneous distribution of the body, but when the temperature of the feet is higher than 2.2 ° C degrees with respect to the other foot, it is an indicative of diabetic foot. That is why the thermal evaluation of feet with suspected diabetic foot was raised in this research to prevent future damage or even amputation of the foot; first a thermal image of both feet is captured using the FLIR ONE Pro thermal camera following a temperature range protocol, then the images are processed in the MATLAB software in order to obtain the zones where the variations are greater or equal 2.2 degrees of temperature and finally superimpose it on the foot with higher temperature to determine the area where the highest temperature was detected. It was obtained as results, that patients with diabetic foot do not have sensitivity in both feet, which will indicate us as a result and in addition to the difference in temperature between both feet which is a possible diabetic foot.

Section: Resultsmentioning

confidence: 99%

Detection of Suspicious of Diabetic Feet using Thermal Image

Alvarado-Díaz²,

Flores-Medina³

et al. 2019

IJACSA

Self Cite

“…In [21] it is mentioned that ImageJ, which is a public software package based on Java, for general image processing, with useful and extensible functions, in the work we are introduced to Astro ImageJ, which provides specific tools for astronomy, based on ImageJ; in this case, it is not based on astronomy nor does it possess all the ImageJ capabilities, however, it has an educational module, which allows you to learn Python as well as instructions to add new functionalities to the system, thus ensuring that it is completely extensible. Finally we must mention that this system is able to reproduce the processing that is carried out in [22], [23], [24] and [25] in which image processing is performed for various medical applications.…”

Section: Discussionmentioning

confidence: 99%

Graphical Interface to Improve Python Language Teaching and Image Processing

Tapia²,

Díaz³

2022

IJETAE

The increase in knowledge of programming languages is increasingly high due to current business and educational demands, in many cases it has been reflected that advanced knowledge of a programming language for careers in natural sciences and engineering have improved the possibility of getting a decent job with a good working environment. Many universities propose programming courses on a large scale and in a general way so that the student can investigate and deepen the topics, but when the course is carried out without any structure or interface with which the students present a great interest in it, they tend to fail or regularly make basic schedules to only pass the course. That is why a graphical interface system is proposed to improve the teaching of the Python language due to its various functionalities and improve the interest of image processing. Obtaining as results that, of the 100 students and teachers within the branch of natural sciences and engineering, using 9 indicators of satisfaction an average of 6 thus indicating that the graphic interface does help in the process of learning and interaction of the person did the programming and processing of images. It is concluded that the use of graphical interfaces for any type of teaching is quite useful due to the simulation mode that all these have, thus improving the level of interaction of the student and the possibilities of tests that can be carried out before the implementation or design in real. Keywords— GUI, Python, graphical interface, PyQt, artificial intelligence.

“…Facial recognition technology is widely used in different technologies due to the importance and requirement of security and entertainment demanded by people, in addition to recognizing or identifying an individual through an image, video or any audiovisual element of the face [1]. The process of easy recognition requires three important steps, whether these are digital photography, video or capture technology, the face of the individual and a trained and robust software capable of identifying, classifying and extracting more outstanding characteristics of the person [2].…”

Section: Introductionmentioning

confidence: 99%

Organization, Extraction, Classification and Prediction of Age in Facial Images using Convolutional Neuronal Network

Tapia²,

Díaz³

2022

IJETAE

The development of technology and the popularization of AI (artificial intelligence), face recognition has become fundamental by various applications, both in military and economic appearance because it is gradually being introduced into the lives of individuals, exemplifying, in the use of face recognition for unlocking mobile phones. Starting in the 1990s, they began to learn age identification by means of a face photo, it should be said that the recognition of the old face is quite challenging within the environment of the perspective by PC. This article is made in order to be used in marketing, as it could be given differentiated products according to the age of consumers; for this purpose we have used public databases to classify by age the images of faces of both men and women, thanks to a model of Convolutional Neural Network (CNN), with which we obtained an efficiency in the categorization of around 97.86%, we also performed prediction tests in which the silver model obtained an approximate success rate of 87.64%. Keywords— Convolutional Neural Network, age classification, mathematical model, artificial intelligence, CNN.