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

Image-based Automatic Generation of Digital Oil Painting Canvas

A digital oil painting, automatic generation technology, applied in 2D image generation, image data processing, image analysis and other directions, can solve problems such as cluttered brushstrokes and lack of layering.

Active Publication Date: 2017-05-17
郎溪品旭科技发展有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current digital oil painting canvas only prompts the area and color of the paint, ignoring other important factors such as the size and direction of the brush. People who lack painting experience are prone to messy strokes or lack of layering like children's coloring paintings

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-based Automatic Generation of Digital Oil Painting Canvas
  • Image-based Automatic Generation of Digital Oil Painting Canvas
  • Image-based Automatic Generation of Digital Oil Painting Canvas

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] With reference to accompanying drawing, further illustrate the present invention:

[0036] An image-based method for automatically generating a canvas for digital oil painting, comprising the following steps:

[0037] Step 1. Segment the input image I with the Mean-Shift image segmentation algorithm, and replace the original color with the average color of each region to obtain the segmented image Ir.

[0038] Step 2. Smooth the boundary of the area of ​​Ir through statistical filtering to obtain the boundary image Ie.

[0039] Step 3, using the K-means algorithm to perform cluster analysis on the average color of each region of Ir.

[0040] Step 4. Adaptively adjust the size and position of the corresponding color number according to the outline of each region in Ir.

[0041] Step 5. Calculate the direction field according to the input image I and the boundary image Ie.

[0042] Step 6. Through the line integral convolution of the direction field, the streamline ind...

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-based digital oil painting canvas automatic generation method. With the image-based digital oil painting canvas automatic generation method adopted, any images can be automatically converted to digital oil painting canvases, and the movement direction and size of a brush can be reasonably prompted. The method comprises the following steps that: firstly, a statistical filtering method is provided so as to remove boundary sawteeth generated by Mean-Shift image segmentation, so that smooth boundary lines can be obtained; secondly, representative colors are selected through adopting K means clustering, and an adaptive digital display adjustment method is provided, and therefore, the clarity and visibility of the display of corresponding digits can be ensured, and the digits do not overlap with boundaries; the direction field of an image space is calculated, so that streamlines for prompting the movement direction and size of the brush can be generated; and finally, the above boundary lines, color digits and brush streamlines are synthesized, and a digital oil painting canvas consistent with inputted image content can be generated.

Description

technical field [0001] The invention relates to an automatic generation method of a digital oil painting canvas using computer technology, which can automatically convert any image into an effective digital oil painting canvas, and clearly prompts the brush stroke while displaying the area outline and digital number size and orientation. Background technique [0002] Traditional oil painting is done on a blank canvas, which requires many steps such as outline outline, paint blending, and brush painting. It is highly professional and requires long-term study to master. Digital oil painting is a new art form. It provides painters with canvases with outlines, color hints and pre-mixed paints, so that all those who love painting but lack the foundation of painting can get started directly and draw easily Create your own paintings. Digital oil painting inherits the simplicity and intuition of children's coloring paintings, avoids the professional restrictions of traditional oil...

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): G06T7/11G06T7/60G06T11/00
CPCG06T3/0012G06T7/12
Inventor 陈佳舟何栋秦绪佳
Owner 郎溪品旭科技发展有限公司
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