A seal image segmentation method based on local binarization, electronic equipment and readable storage medium

A local binarization and image segmentation technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problems of high computational complexity and low segmentation accuracy, and achieve good robustness, effective detection, and operation. concise effect

Active Publication Date: 2022-06-28
CHONGQING AOXIONG INFORMATION TECH
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method needs to rely on prior experience, the calculation complexity is high, and the segmentation accuracy is not high.

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
  • A seal image segmentation method based on local binarization, electronic equipment and readable storage medium
  • A seal image segmentation method based on local binarization, electronic equipment and readable storage medium
  • A seal image segmentation method based on local binarization, electronic equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] In order to clearly illustrate the technical solution of the present invention, the implementation of the present invention will be described in detail below through the embodiments and the accompanying drawings. Obviously, to facilitate the understanding of the present invention, the embodiments used in the following description do not limit the protection scope of the present invention. . The embodiment is only one of the embodiments of the present invention, and routine changes and substitutions made by those skilled in the art within the scope of the technical solutions of the present invention should be included in the scope of the present invention.

[0019] figure 1 The flow chart of the segmentation process based on the local binarization of the seal image. Including, smoothing the seal image area, using bilateral filtering to smooth the seal image, preserving the boundary information and smoothing the area information; local binarization, using the local binar...

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 present invention claims a seal image segmentation method based on local binarization, which relates to the technical field of image processing, uses bilateral filtering to perform smooth processing on the seal image, and uses the local binarization method to perform binarization operations on the seal image. The result of the valued mask is closed to fill holes, remove white and gray, convert the RGB color space to the HSV color space, and in the HSV color space, perform a white and gray mask, mask the image and close the operation The images filled in the holes are subtracted to obtain the seal image.

Description

technical field [0001] The invention relates to the technical field of computer image processing, in particular to a method for segmenting and extracting seal images. Background technique [0002] In the process of implementing paperless government affairs, a large number of certificates, contracts, government approvals and reports will be involved, and the above-mentioned electronic documents need to use electronic seals to synthesize electronic documents. It can be said that the electronic seal is an indispensable part of the formal electronic document, therefore, the seal image needs to be segmented from the document data. [0003] At present, the more mature image segmentation models are mainly based on neural networks, but this segmentation method needs to prepare sufficient data when training the model, and has higher requirements on the quality and quantity of data, and secondly, when doing image segmentation , shadows and lighting have a great influence on the segme...

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 Patents(China)
IPC IPC(8): G06T7/136G06T5/00G06T7/90
CPCG06T7/136G06T5/002G06T7/90G06T2207/20028
Inventor 吴乐琴覃勋辉章齐
Owner CHONGQING AOXIONG INFORMATION 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
Try Eureka
PatSnap group products