2021
DOI: 10.1088/1742-6596/1813/1/012034
|View full text |Cite
|
Sign up to set email alerts
|

An Automatic Method of Sequential Image Processing

Abstract: As the visual storage of objective things, images are usually used everywhere in the field of electronic information. Images of objects are collected or drawn to make electronic image files, which are stored into image files, and may be classified into different folders. Image users, such as accounting, HR and so on, often need to reprocess the images and save them into a word file when they use the images. Such manual processing of images is time costing and labor costing. In this paper, a method of automatic… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…The theoretical features of creating mathematical support for the process of forming areas of interest in which objects are present, based on a set of image segments obtained as a result of image processing by segmentation tools, are described. In particular, a mathematical model is presented for creating initial zones from multiple segments of sequential images [4,5]. The process consists of determining the dynamic neighborhood, determining the interaction weights and the rules for updating them, updating the spatial vectors of the segments of the processed images.…”
Section: Introductionmentioning
confidence: 99%
“…The theoretical features of creating mathematical support for the process of forming areas of interest in which objects are present, based on a set of image segments obtained as a result of image processing by segmentation tools, are described. In particular, a mathematical model is presented for creating initial zones from multiple segments of sequential images [4,5]. The process consists of determining the dynamic neighborhood, determining the interaction weights and the rules for updating them, updating the spatial vectors of the segments of the processed images.…”
Section: Introductionmentioning
confidence: 99%