WO2016107461A1

WO2016107461A1 - Application icon generation method and apparatus, and mobile device

Info

Publication number: WO2016107461A1
Application number: PCT/CN2015/098254
Authority: WO
Inventors: 周士奇; 楚汝峰; 黄英
Original assignee: 阿里巴巴集团控股有限公司; 周士奇; 楚汝峰; 黄英
Priority date: 2014-12-30
Filing date: 2015-12-22
Publication date: 2016-07-07
Also published as: CN105809721B; CN105809721A

Abstract

Provided are an application icon generation method and apparatus, and mobile device. The generation method comprises: sampling pixel points in an original image of an application icon, so as to acquire the position coordinates and pixel values of various sampled pixel points; performing fitting on the obtained pixel values of the sampled pixel points, so as to generate a fitting function of the pixel values of the sampled pixel points; judging whether the proportion of the number of the sampled pixel points meeting the fitting function is greater than a pre-set proportion, and if so, according to the relationship between the position and the pixel value presented by the fitting function, generating a background image of the application icon; and compositing the original image onto the background image, so as to generate the application icon. By adopting the method provided in the present application, an application icon can be generated automatically, which avoids the manual re-drawing of the application icon, thereby achieving the effect of reducing the workload.

Description

Method, device and mobile device for generating application icons

Technical field

The present application relates to the field of image processing, and in particular, to a method and an apparatus for generating an application icon. The application also relates to a mobile device

Background technique

With the continuous development of mobile Internet technology, mobile Internet-based software is also increasing, such as operating systems, flashing packages, desktop applications, etc., and various software provides users with a variety of services. Because of the different developers of various software, the design styles of various softwares are different. For example, in the operating system field, including YunOS, IOS, Android, etc., each operating system has its own design style; in the field of Brush Pack (ie: ROM package), including MIUI, Le Frog OS, Smartisan OS, etc. A brush bag design style is different; in the field of desktop applications, including Xiaomi desktop, dim sum desktop, etc., each application also has its own design style. In summary, mobile Internet-based software does not have a unified design style.

Mobile Internet-based software also includes a variety of third-party applications. In order to facilitate the user to run a third-party application, the application icon of the third-party application is usually displayed directly on the desktop. In practical applications, in order to improve the user experience, it is necessary to make the application icons of the third-party applications conform to the design style of the entire system. However, since the design style of the application icons of the third-party applications is completely dependent on the developers of the third-party applications, different applications have different design styles, and the design styles between the applications and the systems are also different. It can be seen that the inconsistency in the design style of the application icons and systems has become a problem to be solved.

An existing method for solving the above problem is to manually repaint the application icon of the third party application. There are two main disadvantages in using the manual redrawing method: 1) Due to the large number of third-party applications, the workload of manual redrawing is also huge, which is huge consumption for the company or the team in terms of economy and time; 2) Because the third party may update the application icon from time to time, if it is not found in time and repainted, it may bring a bad experience to the user. In practical applications, in order to reduce the workload, the usual strategy is to select some applications that are ranked higher in the app store to redraw their application icons.

In summary, in order to make the design style of the application icon and the system consistent, the prior art has the problem that the manual redrawing of the application icon leads to a huge workload.

Summary of the invention

The present application provides a method, an apparatus, and a mobile device for generating an application icon, so as to solve the problem that the manual redrawing of the application icon causes a huge workload in the prior art.

The application provides a method for generating an application icon, including:

Sampling pixel points in an original image of the application icon, obtaining position coordinates and pixel values of each sampled pixel point;

And fitting the obtained pixel values of the sampled pixel points to generate a pixel value fitting function of the sampled pixel points;

Determining whether a proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio; if yes, generating a background image of the application icon according to a position and a pixel value relationship represented by the fitting function;

The original image is synthesized onto the background image to generate the application icon.

Optionally, if the determining whether the proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio is negative, according to the pixel value that is the largest proportion of the sampled pixels, A background image of the application icon is generated.

Optionally, the generating, according to the pixel value that is the largest proportion of the sampled pixel points, generating a background image of the application icon, including:

Calculating a quantity of pixel values of each of the sampled pixels;

The background image is generated by using the most number of pixel values as the pixel values of the respective pixels in the background image.

Optionally, the sampling the pixel points in the original image of the application icon is as follows:

A column or row of pixels is sampled in the original image.

Optionally, the pixel value of the obtained sampled pixel is matched to generate a pixel value fitting function of the sampled pixel, in the following manner:

A quadratic polynomial function fitting is performed on the sampled pixel to generate a quadratic pixel value fitting function of the sampled pixel.

Optionally, the quadratic polynomial function fitting is performed on the sampled pixel points by using the following method:

A quadratic polynomial function fitting is performed on the sampled pixel points using a RANSAC method or a least squares method.

Optionally, the sampling is performed on the sampled pixel to generate a pixel value of the sampled pixel Fit functions, including:

Obtaining distribution data of the sampled pixel points on respective channel components characterizing pixel values;

According to the distribution data on the respective channel components, fitting calculations are respectively performed on the respective channels, and a pixel value fitting function of each channel is generated.

Optionally, in the step of determining whether the proportion of the number of sampled pixels in the fitting function is greater than a preset ratio, the following steps are used to determine whether the sampled pixel points meet the fitting function:

Taking a position coordinate value of the sampled pixel point into the fitting function, and calculating a fitted pixel value of the sampled pixel point;

Determining whether a distance between an actual pixel value of the sampled pixel point and a fitted pixel value of the sampled pixel point is less than a preset distance;

If the result of the above determination is yes, determining that the sampled pixel points meet the fitting function;

Traversing the sampled pixel points, performing the above determination on each sampled pixel; after each determination is completed, if the determination result is yes, the number of sampled pixels that meet the fitting function is incremented by one; after the traversal is completed, That is, the number of sampled pixels that meet the fitting function is obtained.

Optionally, the determining whether the proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio is as follows:

It is determined whether the proportion of the number of sampled pixels corresponding to the pixel value fitting function of each channel that matches the pixel value is greater than a preset ratio.

Optionally, if the sampling manner of the sampling pixel in the original image of the application icon is to sample a column of pixels in the original image, the relationship between the position represented by the fitting function and the pixel value is generated. The background image of the application icon includes:

Traversing each row of the background image, bringing the ordinate value corresponding to the row into the fitting function, and calculating a pixel value corresponding to the ordinate value;

The pixel value corresponding to the ordinate value is taken as the pixel value of each pixel in the row.

Optionally, if the sampling manner of sampling the pixel point in the original image of the application icon is to sample a row of pixel points in the original image, the relationship between the position represented by the fitting function and the pixel value is generated. The background image of the application icon includes:

Traversing the columns of the background image, bringing the corresponding abscissa value of the column into the fitting function, and calculating a pixel value corresponding to the abscissa value;

The pixel value corresponding to the abscissa value is taken as the pixel value of each pixel in the column.

Optionally, the color mode of the original image includes an RGB color mode.

The application also provides an apparatus for generating an application icon, including:

a sampling unit, configured to sample pixel points in an original image of the application icon, and obtain position coordinates and pixel values of each sampled pixel point;

a fitting unit, configured to fit the obtained pixel values of the sampled pixel points to generate a pixel value fitting function of the sampled pixel points;

a determining unit, configured to determine whether a proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio; if yes, generating an application icon according to a position and a pixel value relationship represented by the fitting function Background image

And a synthesizing unit, configured to synthesize the original image onto the background image to generate the application icon.

Optionally, the determining unit includes:

a first generating subunit, configured to: if the judgment result that the proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio is not, according to the proportion of the sampled pixels a pixel value that generates a background image of the application icon.

Optionally, the first generating subunit includes:

a calculation subunit, configured to calculate a quantity of pixel values of each level in the sampled pixel;

Generating a subunit for generating the background image by using the most number of pixel values as pixel values of respective pixels in the background image.

Optionally, the fitting unit includes:

Obtaining a subunit, configured to acquire distribution data of the sampled pixel points on respective channel components that represent pixel values;

The fitting subunit is configured to perform fitting calculation on each channel according to the distribution data on the respective channel components, and generate a pixel value fitting function of each channel.

Optionally, the determining unit includes:

a first determining subunit, configured to determine whether a proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio;

The first determining subunit includes:

a first calculating subunit, configured to calculate a number of sampled pixels that meet the fitting function;

The first computing subunit includes:

a second determining subunit, configured to determine whether the sampled pixel points meet the fitting function;

The second determining subunit includes:

a second calculating subunit, configured to bring a position coordinate value of the sampled pixel point into the fitting function, and calculate a fitted pixel value of the sampled pixel point;

a third determining subunit, configured to determine whether a distance between an actual pixel value of the sampled pixel point and a fitted pixel value of the sampled pixel point is less than a preset distance; if yes, determining the sampled pixel The points conform to the fit function.

Optionally, the determining unit includes:

a second generation subunit, configured to determine, according to the position and the pixel represented by the fitting function, if the judgment result that the proportion of the number of sampled pixels satisfying the fitting function is greater than a preset ratio is YES A value relationship that generates a background image of the application icon.

Optionally, the second generating subunit includes:

a first traversing sub-unit, configured to traverse each row of the background image, bring a ordinate value corresponding to the row into the fitting function, and calculate a pixel value corresponding to the ordinate value;

a first setting subunit, configured to use a pixel value corresponding to the ordinate value as a pixel value of each pixel in the row.

Optionally, the second generating subunit includes:

a second traversing sub-unit, configured to traverse the columns of the background image, bring the horizontal coordinate value corresponding to the column into the fitting function, and calculate and obtain a pixel value corresponding to the horizontal coordinate value;

a second setting subunit, configured to use a pixel value corresponding to the abscissa value as a pixel value of each pixel in the column.

In addition, the present application further provides a mobile device, where the mobile device includes:

monitor;

Processor;

a memory configured to store an original image of an application icon, the original image being displayed by the processor, the application icon being displayed on the display, the application icon being from the original image and a background image Synthesized, the background image is based on the sampled image in the original image The pixel value fitting function of the prime point is generated, and the size of the background image is larger than the original image.

Compared with the prior art, the present application has the following advantages:

The application provides a method, a device and a mobile device for generating an application icon, and by fitting a sampled pixel point in an original image of an application icon, generating a pixel value fitting function of the sampled pixel point, if the fitting function is met The proportion of the number of pixels to be sampled is greater than the preset ratio, and the background image of the application icon is generated according to the position and pixel value relationship represented by the fitting function, and the original image is synthesized onto the background image, so that the application icon is automatically generated to avoid Manually redraw the app icon to reduce the workload.

DRAWINGS

1 is a flow chart of an embodiment of a method for generating an application icon of the present application;

2 is a pixel value distribution diagram of a sampled pixel point in a blue channel in an embodiment of a method for generating an application icon of the present application;

3 is a quadratic fitting curve of a pixel value of a sampled pixel in a blue channel according to an embodiment of a method for generating an application icon of the present application;

4 is a specific flowchart of determining whether a pixel value of a sampled pixel points conforms to a fitting function according to an embodiment of a method for generating an application icon of the present application;

FIG. 5 is a schematic diagram of an embodiment of an apparatus for generating an application icon of the present application; FIG.

6 is a schematic diagram of an embodiment of a mobile device of the present application.

detailed description

Numerous specific details are set forth in the description below in order to provide a thorough understanding of the invention. However, the present invention can be implemented in many other ways than those described herein, and a person skilled in the art can make a similar promotion without departing from the spirit of the invention, and thus the invention is not limited by the specific embodiments disclosed below.

In the present application, a method and an apparatus for generating an application icon, and a mobile device are provided. Detailed description will be made one by one in the following embodiments.

The method for generating an application icon provided by the present application is based on a design concept that when the pixel value fitting function of the sampled pixel in the original image can represent the actual pixel value distribution of the sampled pixel, The compositor generates a background image of the application icon and synthesizes the original image and the background image into an application icon. Therefore, by implementing the method provided by the present application, it is possible to generate an application icon that is visually harmonious with the original image.

Please refer to FIG. 1 , which is a flowchart of an embodiment of a method for generating an application icon of the present application. The method includes the following steps:

Step S101: sampling pixel points in the original image of the application icon, and acquiring position coordinates and pixel values of the respective sampled pixel points.

The original image described in the embodiment of the present application is an original application icon provided by a third-party application. From the image file storage format of the image, the image file storage formats commonly used in the original image include PNG format (Portable Network Graphics), BMP format (Bitmap, bitmap format), and JPEG (Joint Photographic Experts Group). Expert group format) and so on. Among them, the PNG format is a bitmap file storage format. When PNG is used to store grayscale images, the depth of grayscale images can be up to 16 bits. When storing color images, the depth of color images can be as much as 48 bits, and Up to 16-bit alpha channel data can be stored. The BMP format is a standard image file format in the Windows operating system and is very widely used. It uses a bitmapped storage format. Except for the image depth optional, no other compression is used. Therefore, the BMP file takes up a lot of space. JPEG is the first international image compression standard. JPEG image compression algorithm can provide good compression performance and has better reconstruction quality. It is widely used in image and video processing. From the image color mode perspective, the color mode of the original image includes the RGB color mode. Color mode is an algorithm for representing colors in the digital world. It is a model that represents a color as a digital form, or a way to record the color of an image. In the digital world, in order to represent various colors, people usually divide colors into several components. The color modes are divided into: RGB mode, CMYK mode, HSB mode, Lab color mode, bitmap mode, gray mode, index color mode, two-tone mode, and multi-channel mode. Since the original image is used for display on the screen, not for printing or printing, the original image is usually in RGB mode, which gives a wider color gamut.

The application icon, which is also referred to as a desktop icon or an operation icon, is an icon of a third-party application displayed on the desktop. By clicking the app icon, you can run the corresponding third-party app. The app icon is an image that is redrawn from the original image provided by the third-party app.

To implement the method provided by the present application, first, pixel points are sampled in the original image, and the position and pixel value data of each sampled pixel point are obtained. The process of sampling pixel points in the original image may be implemented in various specific implementations, for example, one column or one row of pixels may be sampled in the original image, or a continuous region of different rows or columns may be sampled, or Is a completely discrete pixel. Sampling the above different manners is only a modification of the specific embodiment, and does not deviate from the core of the present application, and therefore is within the protection scope of the present application.

The computational complexity of the fitting process involved in the subsequent steps corresponding to different sampling modes is different. For example, the computational complexity of the fitting process corresponding to sampling a continuous region of different rows and different columns is higher than the computational complexity of the fitting process corresponding to sampling one column or one row of pixels. The reason is that the pixel corresponding to the pixel value fitting function of the sampling pixels of different rows and columns is a three-dimensional surface, and the pixel corresponding to the pixel value fitting function of one column or one row of sampling pixels can be simplified into a two-dimensional curve. The computational complexity of 3D surfaces is higher than the computational complexity of 2D curves. The effect of the generated background file is different for different sampling methods. A background image is generated according to a specific continuous area of different rows and different columns, and the background image and the original image may be visually more harmonious and natural. For example, the color of a certain edge region in the original image is used as the color of the background image, and the visual effect is likely to be higher than the visual effect of the background image generated according to the color of one column of sampled pixels.

Considering the computational complexity and the visual effect in a comprehensive manner, in the embodiment, the sampling method of sampling a column of pixel points in the original image is preferentially implemented, and the process of sampling the pixel points in the original image of the application icon is realized. After sampling a column of pixels in the original image of the application icon, the position coordinates and pixel values of each sampled pixel in the column are obtained. For example, the original image of an RGB color mode has a size of 150*150. After sampling the 5th column of pixels in the image, the sequence of coordinate values of the sampled pixels to be acquired is: (5, 1), (5, 2), (5, 3), ... (5, 150), the sequence of pixel values is: (255, 0, 0), (255, 0, 0), (255, 0, 1), ... (255, 0, 255).

Step S102: fitting the obtained pixel values of the sampled pixel points to generate a pixel value fitting function of the sampled pixel points.

After sampling a column of pixels in the original image, according to the obtained position coordinates and pixel values of each sampled pixel, a polynomial function is fitted to the pixel value of the sampled pixel to generate a pixel value fitting function of the sampled pixel. . The process of fitting the obtained pixel values of the sampled pixel points may be implemented in various specific implementation manners, for example, a quadratic polynomial function fitting may be performed on the pixel values of the sampled pixel points, or Higher order polynomial function fitting. The higher the number of fitting functions, the higher the fit to the pixel values of the sampled pixels, ie the better the fitting effect, but the higher the computational complexity.

Considering the fitting effect and the computational complexity in a comprehensive manner, in this embodiment, a quadratic polynomial function fitting is performed on the pixel values of the sampled pixel points, and a quadratic pixel value fitting function of the sampled pixel points is generated.

In mathematics, the highest order of the quadratic function must be quadratic, and the basic representation of the quadratic function is y=ax ² +bx+c(a≠0). The image of the quadratic function is a parabola whose axes of symmetry are parallel or coincident with the y-axis. The so-called quadratic fitting, that is, fitting the set of data with a quadratic polynomial function according to a given data sequence. In this embodiment, the fitting objective is to obtain a fitting function in the sense that the mean square error of the fitting function and the data sequence is the smallest. Since the quadratic function is expressed as: y=ax ² +bx+c, the process of quadratic polynomial function fitting on the pixel values of the sampled pixels is the process of obtaining the coefficients a, b, and c in the quadratic function. In practical applications, the specific values of the coefficients a, b, and c of the quadratic function depend on the data sequence being fitted. If the fitted data sequence is linearly distributed, the value of the quadratic coefficient a corresponds to zero. .

In practical applications, a plurality of specific algorithms can be used to perform quadratic polynomial function fitting on the pixel values of the sampled pixels, such as RANSAC algorithm or least squares method. The least squares method is usually suitable for small errors. If you need to extract a model from a noisy data set, the least squares method is not enough. Since the pixel values of the sampled pixels in the original image are likely to differ greatly, the fitting effect of the RANSAC algorithm is better than the least squares method. In this embodiment, the RANSAC algorithm is preferably used to perform quadratic polynomial function fitting on the pixel values of the sampled pixels. The following is an example of performing a quadratic polynomial function fitting on the pixel values of the sampled pixels by using the RANSAC algorithm.

The input to the RANSAC algorithm is a set of observations (often containing large noise or invalid points), a parametric model for interpreting the observed data, and some trusted parameters. RANSAC achieves its goal by iteratively selecting a random set of data in the data. The selected subset is assumed to be an intra-site point and verified by the following method: First, there is a model adapted to the assumed intra-point, that is, all unknown parameters can be calculated from the assumed intra-office points; The model obtained in one step tests all other data, and if a point is applied to the estimated model, it is considered to be an intra-point. If there are enough points to be classified as hypothetical intra-points, then the estimated model is reasonable enough. Then, all hypothetical intra-points are used to re-estimate the model (eg, using least squares) because it is only estimated by the initial hypothetical intra-point. Finally, the model is evaluated by estimating the error rate of the intra-point and model. The above process is repeated a fixed number of times, and each time the generated model is either discarded because there are too few intra-points or selected because it is better than the existing model.

The RANSAC algorithm is applied to perform quadratic polynomial function fitting on the pixel values of the sampled pixels. Assuming that the number of pixels to be sampled is 100, and the pixel value of the sampled pixel is subjected to a quadratic polynomial function fitting, the fitting process is as follows: First, three pixel points are arbitrarily selected among the pixels to be sampled, The quadratic polynomial function is fitted according to the pixel values of the selected three pixel points, and each coefficient is obtained to obtain a quadratic polynomial function; then, the quadratic polynomial function is used to test the pixel values of the remaining 97 pixels. The number of pixels suitable for the function is obtained; after the above process is repeated a fixed number of times (for example, 10 times), the quadratic polynomial function having the largest number of corresponding pixels is selected as the final fitting function.

In this embodiment, the original image is an image of the RGB mode, that is, each pixel value is represented by three color channels of red, green, and blue, so the pixel to be sampled is fitted to generate a pixel of the sampled pixel. The value fitting function includes the following steps:

Step S1021: Acquire distribution data of the sampled pixel points on respective channel components that represent pixel values.

In the RGB mode image, the pixel value of each pixel is represented by three components, which are denoted as (r, g, b), where r is the component value of the red channel, g is the component value of the green channel, b is the component value of the blue channel, and the component values of the three channels are superimposed to obtain the color of the pixel. Since each pixel value is represented by three components, it can be determined that the fitting function can represent the actual pixel value of the sampled pixel only when the distribution data of each color channel conforms to the fitting function of the corresponding channel. Distribution status. In order to be able to fit the component values of each color channel of the sampled pixel, respectively, firstly, the distribution data of the sampled pixel on each channel component of the pixel value is obtained.

Please refer to FIG. 2 , which is a pixel value distribution diagram of a sampled pixel point in a blue channel according to an embodiment of a method for generating an application icon of the present application. Since the sampled pixel is a column of data in the original image, the abscissa in FIG. 2 corresponds to the ordinate position of the sampled pixel, and the ordinate in FIG. 2 represents the pixel value of the sampled pixel. By observing the shape of the curve in Fig. 2, it can be seen that the abrupt portion of the curve has a large difference from the blue component value of the smooth portion.

Step S1022: Perform fitting calculation on each channel according to the distribution data on the respective channel components, and generate a pixel value fitting function of each channel.

After obtaining the distribution data of the sampled pixel points on the respective channel components of the pixel values, it is also necessary to separately perform fitting calculation for the distribution data of each channel to generate a pixel value fitting function of each channel. For example, the RANSAC algorithm is used to perform quadratic polynomial function fitting on the distribution data of the sampled pixel points on the blue channel component in Fig. 2, and the obtained coefficients a, b, and c are respectively 0.0, 0.528492, 204.00, of which The coefficient of the item is 0. According to the obtained quadratic polynomial function, firstly, the ordinate value of each sampled pixel is taken as the independent variable x of the quadratic polynomial function, and the quadratic polynomial function is calculated to calculate the value of the dependent variable y of the quadratic polynomial function; And then draw the corresponding points in the quadratic curve according to the (x, y) value. When the above processing is performed on each sampled pixel, a quadratic fitting graph of the sampled pixel point in the blue channel is generated.

Please refer to FIG. 3 , which is a graph of quadratic fitting of pixel values of sampled pixels in a blue channel according to an embodiment of a method for generating an application icon of the present application. Consistent with the coordinate dimension of Figure 2, the abscissa of Figure 3 corresponds The ordinate position of the pixel, the ordinate in Fig. 3 represents the pixel value. By observing the shape of the quadratic fitting curve in Fig. 3, it can be seen that the quadratic fitting curve is a straight line, which means that the color value is gradually changed as the ordinate position of the pixel point changes.

Step S103: determining whether the proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio; if yes, generating a background image of the application icon according to the position and pixel value relationship represented by the fitting function .

After generating the pixel value fitting function of the sampled pixel, it is necessary to determine whether the fitting function can represent the actual pixel value distribution of the sampled pixel, and determine a specific implementation of the background image according to the determination result. The method provided by the present application determines whether the fitting function can represent the actual pixel value distribution of the sampled pixel points, and determines whether the proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio. The so-called fit function means that the distance between the actual pixel value of the sampled pixel and the corresponding fitted pixel value in the fitting function is within a predetermined distance. To calculate the number of sampled pixels that match the fit function, first determine whether the actual pixel value of the sampled pixel matches the corresponding fitted pixel value in the fit function.

Please refer to FIG. 4 , which is a specific flowchart for determining whether a pixel value of a sampled pixel points conforms to a fitting function according to an embodiment of a method for generating an application icon of the present application. In this embodiment, determining whether an actual pixel value of a sampled pixel point meets a corresponding fitting pixel value on the fitting function includes the following steps:

Step S401: Bring the position coordinate value of the sampled pixel point into the fitting function, and calculate a fitted pixel value of the sampled pixel point.

Taking the sampling method as a sample of a column of pixels as an example, the argument x of the fitting function obtained in step S102 is position information, and the dependent variable y is a pixel value, so the position coordinate value of the sampled pixel point is brought into the fitting function. , it is possible to calculate the fitted pixel value of the sampled pixel.

Step S402: It is determined whether the distance between the actual pixel value of the sampled pixel point and the fitted pixel value of the sampled pixel point is less than a preset distance.

In this embodiment, the preset distance may be a value of a minimum mean square error between a sequence of actual pixel values of the sampled pixel and a sequence of fitted pixel values, or a smaller value directly determined. The smaller the preset distance, the smaller the number of sampled pixels that match the fitting function, and the less likely it is to adopt a technical solution for generating a background image according to the fitting function.

Step S403: If the result of the above determination is yes, it is determined that the sampled pixel points meet the fitting function.

In the example of the blue channel shown in FIGS. 2 and 3, the preset distance is set to 3, that is, if the distance between the actual pixel value of the sampled pixel and the fitted pixel value is less than 3, it is determined that The point is on the fitted curve corresponding to the fitting function.

In order to calculate the number of sampled pixels that meet the fitting function, it is necessary to traverse each of the sampled pixels, and perform the corresponding determination on the steps of FIG. 4 for each sampled pixel. After each judgment is completed, if the judgment result is yes, the number of sampled pixels that meet the fitting function is incremented by one; after the traversal is completed, the number of sampled pixels that meet the fitting function is obtained.

For the original image of the multi-channel color mode, since each pixel value is represented by a plurality of color components, it can be determined only when the fitting function of each color channel is fitted to the distribution data of the channel. The fitting function can represent the actual pixel value distribution of the sampled pixels. Therefore, when step S103 is performed, it is determined whether the proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio, and the following method is adopted: determining a pixel value fitting function of each channel that matches the characterizing the pixel value. Whether the proportion of the number of sampled pixels is greater than the preset ratio. For example, for the original image of the RGB color mode, it is necessary to determine, on each color channel, whether the proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio, and only when the judgment results of the three color channels are When it is greater than the preset ratio, it can be determined that the proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio.

The preset ratio in step S103 may be an empirical value obtained through experiments, or may be a direct set value. In this embodiment, the preset ratio is set to 55%, that is, if the number of sampled pixels that meet the fitting function accounts for more than 55% of the number of all sampled pixels, then It is determined that the current fitting function can represent the actual pixel value distribution of the sampled pixel, otherwise it is determined that the current fitting function cannot represent the actual pixel value distribution of the sampled pixel.

For the original image of RGB color mode, if the fitting results on the three channels of RGB meet the requirements, then the corresponding pixel values are resampled on the fitting function corresponding to each color channel to form a new larger background. An image, that is, a background image of the application icon is generated according to a position represented by the fitting function and a pixel value relationship.

The specific implementation process of generating the background image of the application icon according to the position and pixel value relationship represented by the fitting function is related to the sampling mode of the pixel. Different pixel sampling methods are used to implement the relationship between the position and the pixel value represented by the fitting function, and the specific process of generating the background image of the application icon is different. The specific process of generating a background image corresponding to sampling a column of pixels and sampling a row of pixels is respectively given below.

1) Sampling method: sampling a column of pixels

If the sampling mode of the sampling pixel in the original image of the application icon is to sample a column of pixels in the original image, the position and the pixel value relationship according to the fitting function are generated to generate the application icon. a background image, comprising: traversing each row of the background image, bringing a ordinate value corresponding to the row into the fitting function, and calculating a pixel value corresponding to the ordinate value; corresponding to the ordinate value The pixel value is taken as the pixel value of each pixel in the line.

2) Sampling method: sampling one line of pixels

If the sampling method of sampling pixel points in the original image of the application icon is to sample a row of pixel points in the original image, generating the application icon according to the position and pixel value relationship represented by the fitting function a background image, comprising: traversing each column of the background image, bringing an abscissa value corresponding to the column into the fitting function, and calculating a pixel value corresponding to the abscissa value; and the abscissa value The corresponding pixel value is taken as the pixel value of each pixel in the column.

In step S103, if the judgment result that the proportion of the number of sampled pixels corresponding to the fitting function is greater than the preset ratio is negative, indicating that the fitting determination fails, it is determined that the original image is relatively complicated. For a complex original image, the method provided by the present application does not adopt a strategy of generating a background image according to a fitting function, but adopts a strategy of statistical pixel value distribution, that is, generating an application icon according to the pixel value that accounts for the largest proportion among the pixels to be sampled. Background image.

In this embodiment, the generating, according to the pixel value that is the largest proportion of the sampled pixel points, generating a background image of the application icon, including: calculating a quantity of pixel values of each level in the sampled pixel point; The pixel value is generated as a pixel value of each pixel in the background image. For example, the statistical result of the same-level pixel value in FIG. 2 is that the pixel value of the RGB pixel value (2, 39, 68) accounts for the highest proportion, and a large background image with a single color is generated by using the color.

Step S104: synthesize the original image onto the background image to generate the application icon.

After generating a new background image, the smaller original image is placed in the background image to generate a new larger application icon, which is more harmonious and natural to the original image.

In the above embodiment, a method for generating an application icon is provided. Correspondingly, the present application further provides an apparatus for generating an application icon. The apparatus corresponds to an embodiment of the above-described method of generating an application icon.

Please refer to FIG. 5 , which is a schematic diagram of an embodiment of an apparatus for generating an application icon of the present application. Since the device embodiment is basically similar to the method embodiment, the description is relatively simple, and the method is implemented as described in the relevant method. Part of the description of the example can be. The device embodiments described below are merely illustrative.

The apparatus for generating an application icon of the embodiment includes: a sampling unit 101, configured to sample pixel points in an original image of an application icon, acquire position coordinates and pixel values of each sampled pixel point; and the fitting unit 102 uses And fitting the obtained pixel value of the sampled pixel to generate a pixel value fitting function of the sampled pixel; the determining unit 103 is configured to determine the sampled pixel that meets the fitting function Whether the proportion of the quantity is greater than a preset ratio; if yes, generating a background image of the application icon according to the position and pixel value relationship represented by the fitting function; and a synthesizing unit 104, configured to synthesize the original image into the On the background image, the application icon is generated.

Optionally, the determining unit 103 includes:

Optionally, the first generating subunit includes:

Optionally, the fitting unit 102 includes:

And a fitting sub-unit, configured to perform fitting calculation on each channel according to the distribution data on the respective channel components, and obtain a pixel value fitting function of each channel.

Optionally, the determining unit 103 includes:

The first determining subunit includes:

The first computing subunit includes:

The second determining subunit includes:

Optionally, the determining unit 103 includes:

Optionally, the second generating subunit includes:

The embodiment of the present application further provides a mobile device, as shown in FIG. 6, the mobile device includes: a display 601; a processor 602; and a memory 603 configured to store an original image of an application icon, When the original image is executed by the processor 602, the application icon is displayed on the display 601, the application icon is synthesized by the original image and the background image, and the background image is according to the original image. The pixel value fitting function of the sampled pixel is generated, and the size of the background image is larger than the original image.

The application provides a method, a device and a mobile device for generating an application icon, and by fitting a sampled pixel point in an original image of an application icon, generating a pixel value fitting function of the sampled pixel point, if the fitting function is met The proportion of the number of pixels to be sampled is greater than the preset ratio, and the background image of the application icon is generated according to the position and pixel value relationship represented by the fitting function, and the original image is synthesized onto the background image, so that the application icon is automatically generated to avoid Manually redraw the app icon to reach Reduce the effect of the workload.

The present invention is disclosed in the above preferred embodiments, but it is not intended to limit the present invention, and any one skilled in the art can make possible variations and modifications without departing from the spirit and scope of the invention. The scope of protection should be determined by the scope defined by the claims of the present invention.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory. Memory is an example of a computer readable medium.

1. Computer readable media including both permanent and non-persistent, removable and non-removable media may be implemented by any method or technology. The information can be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media, such as modulated data signals and carrier waves.

2. Those skilled in the art will appreciate that embodiments of the present application can be provided as a method, system, or computer program product. Thus, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment in combination of software and hardware. Moreover, the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

Claims

A method for generating an application icon, comprising:

Sampling pixel points in an original image of the application icon, obtaining position coordinates and pixel values of each sampled pixel point;

And fitting the obtained pixel values of the sampled pixel points to generate a pixel value fitting function of the sampled pixel points;

Determining whether a proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio; if yes, generating a background image of the application icon according to a position and a pixel value relationship represented by the fitting function;

The original image is synthesized onto the background image to generate the application icon.
The method for generating an application icon according to claim 1, wherein if the judgment determines whether the proportion of the number of sampled pixels corresponding to the fitting function is greater than a preset ratio, the determination result is no, A pixel value having the largest proportion among the sampled pixels is generated, and a background image of the application icon is generated.
The method for generating an application icon according to claim 2, wherein the generating a background image of the application icon according to a pixel value that is the largest proportion of the sampled pixel points comprises:

Calculating a quantity of pixel values of each of the sampled pixels;

The background image is generated by using the most number of pixel values as the pixel values of the respective pixels in the background image.
The method for generating an application icon according to claim 1, wherein the sampling the pixel point in the original image of the application icon is as follows:

A column or row of pixels is sampled in the original image.
The method for generating an application icon according to claim 1, wherein the fitting the obtained pixel values of the sampled pixel points to generate a pixel value fitting function of the sampled pixel points, Use the following method:

A quadratic polynomial function fitting is performed on the sampled pixel to generate a quadratic pixel value fitting function of the sampled pixel.
The method for generating an application icon according to claim 5, wherein the quadratic polynomial function fitting of the sampled pixel points is as follows:

A quadratic polynomial function fitting is performed on the sampled pixel points using a RANSAC method or a least squares method.
The method for generating an application icon according to claim 1, wherein the fitting the sampled pixel points to generate a pixel value fitting function of the sampled pixel points comprises:

Obtaining distribution data of the sampled pixel points on respective channel components characterizing pixel values;

According to the distribution data on the respective channel components, fitting calculations are respectively performed on the respective channels, and a pixel value fitting function of each channel is generated.
The method for generating an application icon according to claim 1, wherein in the step of determining whether the proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio, the following steps are used to determine that the sample is sampled. Whether the pixel points meet the fit function:

Taking a position coordinate value of the sampled pixel point into the fitting function, and calculating a fitted pixel value of the sampled pixel point;

Determining whether a distance between an actual pixel value of the sampled pixel point and a fitted pixel value of the sampled pixel point is less than a preset distance;

If the result of the above determination is yes, determining that the sampled pixel points meet the fitting function;

Traversing the sampled pixel points, performing the above determination on each sampled pixel; after each determination is completed, if the determination result is yes, the number of sampled pixels that meet the fitting function is incremented by one; after the traversal is completed, That is, the number of sampled pixels that meet the fitting function is obtained.
The method for generating an application icon according to claim 1, wherein the determining whether the proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio is as follows:

It is determined whether the proportion of the number of sampled pixels corresponding to the pixel value fitting function of each channel that matches the pixel value is greater than a preset ratio.
The method for generating an application icon according to claim 4, wherein if the sampling mode of the sampling pixel in the original image of the application icon is to sample a column of pixels in the original image, the basis The relationship between the position of the fitting function and the pixel value is generated, and the background image of the application icon is generated, including:

Traversing each row of the background image, bringing the ordinate value corresponding to the row into the fitting function, and calculating a pixel value corresponding to the ordinate value;

The pixel value corresponding to the ordinate value is taken as the pixel value of each pixel in the row.
The method for generating an application icon according to claim 4, wherein if the sampling mode of the sampling pixel in the original image of the application icon is to sample a row of pixels in the original image, the basis The relationship between the position of the fitting function and the pixel value is generated, and the background image of the application icon is generated, including:

Traversing the columns of the background image, bringing the corresponding abscissa value of the column into the fitting function, and calculating a pixel value corresponding to the abscissa value;

The pixel value corresponding to the abscissa value is taken as the pixel value of each pixel in the column.
The method of generating an application icon according to any one of claims 1 to 11, wherein the color mode of the original image comprises an RGB color mode.
An apparatus for generating an application icon, comprising:

a sampling unit, configured to sample pixel points in an original image of the application icon, and obtain position coordinates and pixel values of each sampled pixel point;

a fitting unit, configured to fit the obtained pixel values of the sampled pixel points to generate a pixel value fitting function of the sampled pixel points;

a determining unit, configured to determine whether a proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio; if yes, generating an application icon according to a position and a pixel value relationship represented by the fitting function Background image

And a synthesizing unit, configured to synthesize the original image onto the background image to generate the application icon.
The apparatus for generating an application icon according to claim 13, wherein the determining unit comprises:

a first generating subunit, configured to: if the judgment result that the proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio is not, according to the proportion of the sampled pixels a pixel value that generates a background image of the application icon.
The apparatus for generating an application icon according to claim 14, wherein the first generating subunit comprises:

a calculation subunit, configured to calculate a quantity of pixel values of each level in the sampled pixel;

Generating a subunit for using the largest number of pixel values as each pixel in the background image A pixel value is generated to generate the background image.
The apparatus for generating an application icon according to claim 13, wherein the fitting unit comprises:

Obtaining a subunit, configured to acquire distribution data of the sampled pixel points on respective channel components that represent pixel values;

The fitting subunit is configured to perform fitting calculation on each channel according to the distribution data on the respective channel components, and generate a pixel value fitting function of each channel.
The apparatus for generating an application icon according to claim 13, wherein the determining unit comprises:

a first determining subunit, configured to determine whether a proportion of the number of sampled pixels that meet the fitting function is greater than a preset ratio;

The first determining subunit includes:

a first calculating subunit, configured to calculate a number of sampled pixels that meet the fitting function;

The first computing subunit includes:

a second determining subunit, configured to determine whether the sampled pixel points meet the fitting function;

The second determining subunit includes:

a second calculating subunit, configured to bring a position coordinate value of the sampled pixel point into the fitting function, and calculate a fitted pixel value of the sampled pixel point;

a third determining subunit, configured to determine whether a distance between an actual pixel value of the sampled pixel point and a fitted pixel value of the sampled pixel point is less than a preset distance; if yes, determining the sampled pixel The points conform to the fit function.
The apparatus for generating an application icon according to claim 13, wherein the determining unit comprises:

a second generation subunit, configured to determine, according to the position and the pixel represented by the fitting function, if the judgment result that the proportion of the number of sampled pixels satisfying the fitting function is greater than a preset ratio is YES A value relationship that generates a background image of the application icon.
The apparatus for generating an application icon according to claim 18, wherein the second generation subunit comprises:

a first traversal subunit for traversing each row of the background image, and ordinate the row Taking a value into the fitting function, and calculating a pixel value corresponding to the ordinate value;

a first setting subunit, configured to use a pixel value corresponding to the ordinate value as a pixel value of each pixel in the row.
The apparatus for generating an application icon according to claim 18, wherein the second generation subunit comprises:

a second traversing sub-unit, configured to traverse the columns of the background image, bring the horizontal coordinate value corresponding to the column into the fitting function, and calculate and obtain a pixel value corresponding to the horizontal coordinate value;

a second setting subunit, configured to use a pixel value corresponding to the abscissa value as a pixel value of each pixel in the column.
A mobile device, characterized in that the mobile device comprises:

monitor;

Processor;

a memory configured to store an original image of an application icon, the original image being displayed by the processor, the application icon being displayed on the display, the application icon being from the original image and a background image Synthesized, the background image is generated according to a pixel value fitting function of the sampled pixel points in the original image, and the size of the background image is larger than the original image.