Image binarization boundary line method

A grayscale image and threshold technology, applied in the field of image processing, can solve problems such as slow processing speed, target loss, and inability to extract

Pending Publication Date: 2021-03-19
汪运明
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the target is lost and cannot be extracted after image binarization, and the processing speed is slow in image recognition. Wang Yunming's image binarization method uses a new and simple way to adaptively select an appropriate threshold to obtain high The binarized image with a clear outline, the obtained image can clearly reflect the overall characteristics of the image, especially retain as many objects and outline pixels as possible, and can easily extract, track and identify the target of interest

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image binarization boundary line method
  • Image binarization boundary line method
  • Image binarization boundary line method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] 1. Convert the image to grayscale.

[0015] 2. Perform pixel statistics on each grayscale of the grayscale image. When counting, the internal points are not counted (the so-called internal points are points that are exactly the same as the surrounding grayscales), and each grayscale value is obtained, and then summed to obtain the sum value.

[0016] 3. Starting from 0, accumulate each gray level. When the accumulated value is greater than half of the sum value, judge whether the previous gray level accumulated value is greater than the remaining gray value (the sum value minus the current accumulated value), if so and the gray level is not 0 , choose the previous gray level as the threshold, otherwise choose the current gray level as the threshold.

[0017] 4. Process the grayscale image according to the obtained threshold value to obtain a binarized image. Greater than the threshold is 255, less than 0. Other binary values ​​are also possible.

[0018] The present...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

An image binarization boundary line method is a method for obtaining a high-contour-quality binarized image by selecting an appropriate threshold value in a self-adaptive mode from the global aspect,the obtained binarized image contains objects and contour pixels as many as possible, extraction and tracking of an interested target are quite convenient, and subsequent reprocessing is facilitated.The method has the advantages of no complex operation, much smaller calculated amount than an Otsu binarization algorithm, very fast processing speed, rich image contour information, overcoming of thedisadvantages of the Otsu binarization algorithm, and wide image processing range. And the method is especially suitable for places with high image identification real-time requirements.

Description

Technical field: [0001] The invention belongs to the technical field of image processing, and is a new method for adopting adaptive threshold binarization processing on gray images. [0002] technical background: [0003] Image binarization is to set the gray value of the pixel on the image to 0 or 255 (or other two values) by selecting an appropriate threshold, that is, the process of showing the entire image an obvious black and white effect, and The obtained image can still reflect the overall and local features of the image. Because the binary image is simple, the amount of data is small, and it can highlight the outline of the target of interest, it occupies a very important position in digital image processing and is widely used in various fields, such as image recognition, target tracking, and optical character recognition technology. OCR (optical character recognition), license plate recognition, etc. Invention content: [0004] The purpose of the present inventio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/136G06T7/13
CPCG06T7/13G06T7/136
Inventor 汪运明汪思语
Owner 汪运明
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap