Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An Image Enhancement Method Using Mathematical Morphology of Multi-Scale and Multi-Structural Elements

A technology of mathematical morphology and structural elements, applied in image enhancement, image data processing, instruments, etc., can solve problems such as reducing the effectiveness of image enhancement algorithms, achieve broad market prospects and application value, enhance images, and avoid over-enhancement Effect

Inactive Publication Date: 2012-02-08
BEIHANG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the effectiveness of the image enhancement algorithm based on the top-hat transformation is reduced because the mathematical morphology operation may seriously smooth the image details.

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
  • An Image Enhancement Method Using Mathematical Morphology of Multi-Scale and Multi-Structural Elements
  • An Image Enhancement Method Using Mathematical Morphology of Multi-Scale and Multi-Structural Elements
  • An Image Enhancement Method Using Mathematical Morphology of Multi-Scale and Multi-Structural Elements

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings. The system block diagram of the present invention is as figure 1 As shown, the present invention is an image enhancement method using multi-scale multi-structural element mathematical morphology, and the specific implementation steps of the method are as follows:

[0037] There are n scales and m different shapes of structural elements participating in the calculation:

[0038] Step 1: Calculate the top-hat transformation corresponding to each different shape structure element at each scale

[0039] Mathematical morphology is an important image processing tool. Mathematical morphology operations are based on two sets: the original image f and the structural element B. Mathematical morphology operations are mainly based on two basic operations: dilation and ero...

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 relates to an image enhancement method using multi-scale multi-structural element mathematical morphology, which has four steps: set n scales and m structural elements of different shapes to participate in the calculation, firstly, use the advanced mathematical morphology Hat transform calculates the image areas corresponding to m structural elements of different shapes at each scale; then, by accumulating the image areas corresponding to each structural element, the bright and dark areas extracted by m structural elements at each scale are obtained: Subsequently, Take the maximum value of the bright and dark regions at all scales as the bright and dark regions extracted by all structural elements at all scales; finally, increase by adding the extracted bright regions to the original image and subtracting the extracted dark regions The contrast between bright and dark areas on the original image, so as to achieve the purpose of image enhancement. The invention is widely used in various image-based application systems, and has broad market prospect and application value.

Description

(1) Technical field [0001] The invention relates to an image enhancement method using multi-scale multi-structural element mathematical morphology, belongs to the field of digital image processing, and mainly relates to mathematical morphology and image enhancement technology. It has broad application prospects in various image-based application systems. (2) Background technology [0002] Image enhancement is an important image processing technology, which is widely used in noise filtering, fingerprint recognition, target recognition, and color image processing. The purpose of image enhancement is to enhance useful information in images according to different application purposes. Images usually contain bright and dark regions. In many cases, some useful image features or image details cannot be effectively identified due to the low contrast between the bright and dark regions of the image. Therefore, the basic idea of ​​image enhancement is to increase the contrast betwe...

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): G06T5/20
Inventor 白相志周付根
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap 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