Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Text extraction method based on level set segmentation

A technology of level set segmentation and level set function, which is applied to instruments, character and pattern recognition, computer components, etc., can solve problems such as residual background and poor text extraction effect

Active Publication Date: 2015-12-16
SHANDONG UNIV OF SCI & TECH
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The various text extraction methods mentioned above only use the grayscale or color information of the bottom layer of the image. When extracting text or outline characters in complex background images, there are often residual backgrounds, and the text extraction effect is not good.

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
  • Text extraction method based on level set segmentation
  • Text extraction method based on level set segmentation
  • Text extraction method based on level set segmentation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0061] The basic hardware condition needed to realize the system structure of the present invention is: a main frequency is 2.4GHZ, and the internal memory is a computer with 1G, and the required software condition is: the programming environment is Visual C++.

[0062] A text segmentation method based on the level set active contour model, such as figure 1 As shown, the specific steps are as follows:

[0063] Step (1): start, read the image;

[0064] Step (2): Grayscale the read image;

[0065] Step (3): extracting the grayscale feature value of the image;

[0066] Step (4): using the level set function to divide the image into two regions;

[0067] Given an image u 0 (x, y), (x, y) ∈ Ω, Ω is called the image area, ω is an open subset of Ω, C is the boundary curve of ω, and the curve C can use the level set function Instead, if the point (x,y) is insi...

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

The invention discloses a text extraction method based on level set segmentation. The method includes reading image data information and determining a border curve; performing graying on the read image; extracting graying feature values; dividing the image into two areas by adopting a level set function according to the graying feature value; performing binaryzation on the two areas obtained through division; performing connection element calibration on the two areas subjected to binaryzation; filtering connection elements calibrated in the two areas; performing polarity judgment on the areas subjected to filtering and determining a text pixel area and a background pixel area; filtering the text area and performing filtering for background noise removal; and outputting a text extraction result. By adopting the method provided by the invention, text information in a complex background can be extracted. Besides, extraction of image text containing outline letters is also very accurate. The method has certain universality and practicability.

Description

technical field [0001] The invention relates to a text extraction method in the field of image processing, in particular to a text extraction method based on level set segmentation. Background technique [0002] With the development of network and computer technology, more and more information appears in the form of multimedia such as images or videos. Images or videos contain rich text information, which can explain and explain the images or videos. Extracting and recognizing these text information is of great significance to image understanding, video content analysis, intelligent transportation, machine vision, intelligent control, etc. However, since text information is usually in a complex background, it is difficult for general OCR systems to recognize text information. Therefore, before the text is detected and submitted to the OCR system, a process of removing the background is required, that is, the text extraction process. Therefore, how to extract text informat...

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
IPC IPC(8): G06K9/00
CPCG06V30/414
Inventor 吕英俊李敏花柏猛吕雪菲
Owner SHANDONG UNIV OF SCI & TECH
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
Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com