Abstract

In order to study the application of image processing technology in remote monitoring and intelligent medical systems, the principle and implementation method of a remote intelligent image monitoring system based on virtual local area network is proposed; this method analyzes the key technologies to be considered in the remote realization of image monitoring, adopts advanced digital image compression coding and decoding technology and digital image transmission technology, and applies intelligent image processing and recognition technology to display, adjust, and track images; it overcomes the defects that the general monitoring system requires excessive intervention by monitoring personnel and low intelligence. After verification, the experimental results show that the proposed model can accurately and efficiently segment nonoverlapping cervical cell images, and compared with other existing models, this model has both higher segmentation accuracy and faster calculation speed. The application of multicast is still only in the laboratory or small local area network; with the further development of network technology, its application prospects will be very broad.

Highlights

  • Images are not strange to us. ey are obtained by observing the objective world in different forms and methods with various observing systems, an entity that can directly or indirectly act on the human eye and thereby produce visual perception

  • The objects on a black and white grayscale photo are reflected by the light intensity of each point on the photo, and the light intensity on the photo is a continuously changing quantity; in other words, within a certain range, any value of light intensity may appear. erefore, computer image processing is often referred to as digital image processing

  • Image processing technology began in the 1950s; in 1964, the US Jet Propulsion Experiment (J.PL) used a computer to process a large number of photos of the moon sent back from the spacecraft to obtain clear and realistic images; this is an important milestone in the development of this technology

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Summary

Introduction

Images are not strange to us. ey are obtained by observing the objective world in different forms and methods with various observing systems, an entity that can directly or indirectly act on the human eye and thereby produce visual perception. Ey are obtained by observing the objective world in different forms and methods with various observing systems, an entity that can directly or indirectly act on the human eye and thereby produce visual perception. Human vision is an observation system; the image obtained through it is the image formed by the objective scene in people’s mind. Normal images are simulated images; that is, the information on the image is a continuously changing analog quantity [1]. In the early 1970s, due to a lot of research and application, digital image processing has its own technical characteristics and formed a relatively complete discipline system, so as to become an independent new discipline. An important fact in image processing and analysis is that special solutions are needed for special problems; to solve specific problems, specific in-depth research and analysis are needed

Journal of Healthcare Engineering
Image analysis
Monitoring Site n
Segmentation method
Materials and Methods
Results and Discussion
Full Text
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