Unlock instant, AI-driven research and patent intelligence for your innovation.

Picture beautifying method

A picture and target picture technology, applied in the field of picture beautification, can solve the problems of limited display screen size, inconvenient picture beautification, and difficulty for users to accurately select elements, so as to achieve the effect of improving user experience

Pending Publication Date: 2022-04-05
GUANGZHOU GOMO SHIJI TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the current stage, when mobile terminals perform local beautification of pictures, the system generally automatically recognizes and beautifies the image content according to the algorithm. When selecting and determining the area to be beautified, deviations often occur, and the final picture beautification effect is different from that of the user. The desired effect is counterproductive; and the user can choose the beautification range by himself. Due to the limited display screen size of the mobile terminal as the output device, it is difficult for the user to accurately select the elements on the screen.
At the same time, the display screen of a touch-screen mobile terminal needs to be used as an input device for users to touch. During use, the fingertips may block the content displayed on the screen, causing inconvenience in the process of beautifying pictures.
The invention solves the technical problem that it is difficult to accurately select a local area of ​​a picture for beautification on a mobile terminal at present

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
  • Picture beautifying method
  • Picture beautifying method
  • Picture beautifying method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] A method for beautifying a picture, comprising the following steps:

[0031] S101. Import the target picture that needs to be beautified;

[0032] S201. Use the Canny edge detection algorithm to scan the target picture and identify the boundary of the image object in the picture;

[0033] S301. Set all identified boundaries to be available for selection, the user can click on the identified boundaries through the touch screen, and the clicked boundaries are highlighted;

[0034] S401. After the user clicks multiple image object boundaries, the area formed or enclosed by the multiple clicked image object boundaries is also highlighted, and the highlighted area is a local area that needs to be beautified;

[0035] S501. Add various target textures according to the beautification effect that the user wants to achieve in the determined local area, so that the image display in the local area conforms to the beautification effect expected by the user;

[0036] S601 , export...

Embodiment 2

[0040] Embodiment 2 is an improvement on the basis of Embodiment 1. It is mainly aimed at selecting boundaries more accurately when the user recognizes more image object boundaries in the target picture, including the following steps:

[0041] S111. Import the target picture that needs to be beautified;

[0042] S211, using the Roberts edge detection algorithm to scan the target picture and identify the boundary of the image object in the picture;

[0043] S311. Set all identified boundaries to be selectable, and detect the distance between all image object boundaries at the same time. When there is a minimum gap between any image object boundary and its adjacent boundary less than 20 pixels, according to the distance between all image object boundaries The ratio between the number and the size of the target picture generates a suitable number of vertical and horizontal lines on the target picture, and the vertical and horizontal lines intersect and divide the target picture i...

Embodiment 3

[0051] Embodiment 3 is an improvement on the basis of Embodiment 2. It is mainly aimed at when there are multiple local areas that need to be beautified, and different textures can be superimposed according to the user's requirements for the beautification effect of different areas, including the following steps:

[0052]S121, importing the target picture that needs to be beautified;

[0053] S221. Use the Roberts edge detection algorithm to scan the target picture and identify the boundary of the image object in the picture;

[0054] S321. Set all identified boundaries to a state that can be selected, and detect the distance between all image object boundaries at the same time. When there is a minimum gap between any image object boundary and its adjacent boundary less than 20 pixels, according to the distance between all image object boundaries The ratio between the number and the size of the target picture generates a suitable number of vertical and horizontal lines on the ...

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 a picture beautifying method, which is used for determining a range required to be beautified by identifying boundaries in a picture and selecting the boundaries by a user, and solves the technical problem in the prior art that a system can only identify and beautify image contents according to an algorithm in local beautification in a mobile terminal and cannot achieve a satisfactory effect of the user. The defect that a user is inconvenient to accurately check the boundary in the image to determine the local range needing to be beautified under the condition that the screen size of the mobile terminal is limited is overcome. The method has wide application scenes, and the technology can be applied to any mobile terminal with limited screen size to improve the accuracy of image selection.

Description

technical field [0001] The invention relates to a method for beautifying pictures, in particular to a method for beautifying a part of a picture under a mobile terminal. Background technique [0002] Traditional desktop computers or notebook computers are equipped with input devices such as mouse and keyboard and large display screens as output devices. It is easy to precisely select the desired position for operation. At the current stage, when mobile terminals perform local beautification of pictures, the system generally automatically recognizes and beautifies the image content according to the algorithm. When selecting and determining the area to be beautified, deviations often occur, and the final picture beautification effect is different from that of the user. The desired effect is counterproductive; and the user can choose the beautification range by himself. Due to the limited size of the display screen of the mobile terminal as the output device, it is difficult f...

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): G06T5/00G06T7/13G06T7/11G06F3/04845G06F3/0488
Inventor 邓裕强朱志祝涛周喨周超红
Owner GUANGZHOU GOMO SHIJI TECH CO LTD