Texture features extraction based on GLCM for face retrieval system

Texture features play an important role in most image retrieval techniques to obtain results of high accuracy. In this work, the face image retrieval method considering texture analysis and statistical features has been proposed. Textile features can also be extracted using the GLCM tool. In this research, the GLCM calculation method involves two phases, first: some of the previous image processing techniques work together to get the best results to determine the big object of the face image (center of face image) then, the gray level co-occurrence matrix GLCM is computed for gray face image and then some statistical texture features with second-order are extracted. In the second phase, the facial texture features are retrieved by finding the minimum distance between texture features of an unknown face image with the texture features of face images that are stored in the database system. The experimental results show that the proposed method is capable to achieve high accuracy degree in face image retrieval

A Smart System for Health Caregiver Based on IoMT: Toward Tele-Health Caregiving

This manuscript introduces the designing and emulation of a wireless, intelligent health surveillance device based on the internet of medical things, with GSM alert technology by health caregivers. In hospitals or medical centers where the body temperature of the patient needs to be constantly checked or other vital signs have to be checked, this is normally achieved by a specialist or another paramedicine personnel by continuously checking the temperature, pulse rate and keeping records of these arguments. This approach is really repetitive and can be very tiring, especially in medical centers crowded with patients. The main system task is to surveillance the patient's body pulse rate and the patient's body temperature and sending the information to the specialists wirelessly via the liquid crystal display. The transmitting unit of this suggested system continuously surveillance the patient's body temperature, as well as the heart rate with digital sensors, and ultimately, displays the outcomes on the liquid crystal display transmitter to present to the specialists. The receiver device is placed in the specialist chamber for continuous wireless surveillance   of the patient's body temperature and heart rate. At the receiver end where the specialist will be, an alarm is often triggered and triggered When the patient's heart rate or temperature is below/above the normal human threshold of 37 ° C and 70 beats/min (bpm), then, send an SMS to the specialist if he or she is absent as a means of continuous update. The suggested framework was implemented utilizing Proteus Tools and programs, composed in Embedded C. The obtained outcomes indicate an effective way to relay details on duty to the specialists for urgent patient care