CN116152499A - A computer image processing method - Google Patents

Abstract

The invention discloses a computer image processing method, which comprises the following steps: s1, acquiring a computer image with a human body; s2, identifying and judging the region of the human body in the computer image; s3, linearizing and dividing the edge of the region of the human body; s4, performing image sharpening processing on the segmented human body region image. The invention has reasonable design and ingenious conception, the interested human body region can be rapidly distinguished through the human body region prediction judging model, and then the image processing is carried out on the human body region, so that the image quality is improved, the analysis processing on the region which is not interested is not needed, and the image processing efficiency is greatly improved.

Description

A computer image processing method

technical field

The invention relates to the technical field of computer image processing, in particular to a computer image processing method.

Background technique

Computer image processing, also known as digital image processing, refers to the process of converting image signals into digital signals and processing them with computers. With the rapid development of computer technology, computer image processing has been widely used in various aspects of human social life. In terms of aspects, such as: industrial inspection, medicine, intelligent robots, etc., no matter in which field, people like to use images to describe and express the characteristics and logical relations of things. Therefore, the development of computer image processing technology and its requirements are increasingly important.

The process of computer image processing is usually divided into image information acquisition and storage, image information transmission, image information preprocessing, image information processing, image information output and display, etc. When analyzing image problems, due to the influence of environmental and shooting factors, the computer There are certain problems in the acquired image, and at the same time, due to the requirements of the operation, the image needs to be converted to a certain extent, so before processing the image, it is necessary to preprocess the image to facilitate the later operation.

When processing a large number of person images, the traditional computer image processing method is to analyze and process the entire image to improve the quality of the person images, but the overall image processing improves the efficiency of computer processing of person images, so it is necessary to invent a new method. A computer image processing method to solve the above-mentioned problems.

Contents of the invention

The present invention provides a computer image processing method to solve the problems raised in the background art above.

In order to achieve the above object, the present invention adopts the following technical solutions:

A computer image processing method, comprising the following steps:

S1, acquiring a computer image with a human body;

S2, identifying and judging the area of the human body in the computer image;

S3, line the edge of the human body area and segment it;

S4, performing image sharpening processing on the segmented human body region image.

As a further improvement of the technical solution: in the above S2, identifying and judging the human body area in the computer image, specifically: judging whether there is a human body area in the computer image through the human body area prediction and judgment model, and if there is, the human body area Sent to step S3.

As a further improvement of the technical solution: the specific construction method of the human body area prediction and judgment model is:

In the first step, multiple computer images containing human body regions are first composed into a data set, and each computer image sample in the data set needs to extract the radian features of the body shape boundary and facial image features;

The second step is to use the data set to train the machine learning model, wherein the machine learning model takes the standardized human body shape boundary radian feature, head boundary feature, and boundary feature as input, and takes the human body area as output. Learn to get the prediction and judgment model of human body area.

As a further improvement of the technical solution: in the above S3, the edge of the human body area is lined and segmented, specifically: the edge of the human body area in the human body prediction area is lined and the image is segmented by the edge line of the human body, Afterwards, the human body image inside the segmented edge line is sent to step S4.

As a further improvement of the technical solution: in the above S4, image clarity processing is performed on the segmented human body image, specifically: geometric processing, arithmetic processing, image enhancement, image coding, and image recognition are performed on the segmented human body image and image understanding processing.

As a further improvement of the technical solution: the format of the image in step S2 is one of bmp, jpg, png, tiff or gif.

As a further improvement of the technical solution: S5: Save the picture: save the processed image, and save the format of the image according to requirements.

The present invention also provides a computer device, including a memory and a processor, the memory stores a computer program, and it is characterized in that, when the processor executes the computer program, the steps of any one of the computer image processing methods described above are realized .

The present invention also provides a computer-readable storage medium on which a computer program is stored, wherein when the computer program is executed by a processor, the steps of any one of the computer image processing methods described above are implemented.

Compared with prior art, the beneficial effect of the present invention is:

The device has a reasonable design and ingenious conception. The human body area of interest can be quickly distinguished through the human body area prediction and judgment model, and then the image processing of the human body area is performed to improve the image quality. Image processing efficiency.

The above description is only an overview of the technical solution of the present invention. In order to understand the technical means of the present invention more clearly and implement it according to the contents of the description, the preferred embodiments of the present invention and accompanying drawings are described in detail below. The specific embodiment of the present invention is given in detail by the following examples and accompanying drawings.

Description of drawings

The accompanying drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations to the present invention. In the attached picture:

Fig. 1 is a schematic structural diagram of a computer image processing method proposed by the present invention.

Detailed ways

The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention. In the following paragraphs the invention is described more specifically by way of example with reference to the accompanying drawings. Advantages and features of the present invention will be apparent from the following description and claims. It should be noted that all the drawings are in very simplified form and use inaccurate scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention.

It should be noted that when a component is said to be "fixed" to another component, it can be directly on the other component or there can also be an intervening component. When a component is said to be "connected" to another component, it may be directly connected to the other component or there may be intervening components at the same time. When a component is said to be "set on" another component, it may be set directly on the other component or there may be an intervening component at the same time. The terms "vertical," "horizontal," "left," "right," and similar expressions are used herein for purposes of illustration only.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

Please refer to Fig. 1, in the embodiment of the present invention, a kind of computer image processing method comprises the following steps:

S1, acquiring a computer image with a human body;

S2, identifying and judging the area of the human body in the computer image (the format of the computer image includes one of bmp, jpg, png, tiff or gif), specifically: judging whether there is a human body area in the computer image through the human body area prediction and judgment model , if it exists, the human body region is sent to step S3, wherein the specific construction method of the human body region prediction and judgment model is:

In the first step, multiple computer images containing human body regions are first composed into a data set, and each computer image sample in the data set needs to extract the radian features of the body shape boundary and facial image features;

The second step is to use the data set to train the machine learning model, in which the machine learning model takes the standardized human body shape boundary radian feature, head boundary feature, and boundary feature as input, and the human body area as output, and obtains through supervised learning Human body area prediction and judgment model;

S3, line the edge of the human body area and segment it, specifically: line the edge of the human body area in the human body prediction area and segment the image with the edge line of the human body, and then send the human body image inside the segmented edge line to In step S4;

S4. Perform image sharpening processing on the segmented human body image, specifically: perform geometric processing, arithmetic processing, image enhancement, image restoration, and image denoising on the segmented human body image. The geometric processing mainly includes coordinate transformation, image Zoom in, zoom out, rotate, move, multiple image registration, panoramic distortion correction, distortion correction, perimeter, area and volume calculations;

Arithmetic processing mainly applies operations such as addition, subtraction, multiplication, and division to images;

Image enhancement processing is mainly to highlight the information of interest in the image, while weakening or removing unnecessary information, so that useful information can be enhanced for easy distinction or interpretation;

The main purpose of image restoration processing is to remove interference and blur, and restore the original image of the image;

The image denoising filter adopts the adaptive weighted mean filter module, which determines the texture direction by detecting the variance in different directions in the filter window, thereby automatically generating the corresponding weighting coefficients, and can perform pipeline weighting on images with a width of no more than 4094 pixels Mean filter processing to achieve the purpose of denoising and edge protection;

S5: Save the image: save the processed image, and save the format of the image according to requirements.

The present invention also provides a computer device, including a memory and a processor, the memory stores a computer program, and it is characterized in that, when the processor executes the computer program, the steps of any one of the computer image processing methods described above are realized .

Preferably, the computer program can be divided into one or more modules/units (such as computer program 1, computer program 2, ...), the one or more modules/units are stored in the memory, and Executed by the processor to complete the present invention. The one or more modules/units may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

The present invention also provides a computer-readable storage medium on which a computer program is stored, wherein when the computer program is executed by a processor, the steps of any one of the computer image processing methods described above are implemented.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention in any form; all those skilled in the art can smoothly implement the present invention as shown in the attached drawings and the above descriptions. However, any equivalent change, modification and evolution made by those skilled in the art without departing from the scope of the technical solution of the present invention by utilizing the technical content disclosed above are all equivalent implementations of the present invention Example; at the same time, all changes, modifications and evolutions made to the above embodiments according to the substantive technology of the present invention are still within the scope of protection of the technical solutions of the present invention.

Claims (9)

1. A computer image processing method, comprising the steps of:

s1, acquiring a computer image with a human body;

s2, identifying and judging the region of the human body in the computer image;

s3, linearizing and dividing the edge of the region of the human body;

s4, performing image sharpening processing on the segmented human body region image.

2. The method for processing a computer image according to claim 1, wherein in S2, the area of the human body in the computer image is identified and judged, specifically: judging whether a human body area exists or not through the human body area prediction judging model on the computer image, and if so, sending the human body area to the step S3.

3. The computer image processing method according to claim 1, wherein the specific construction method of the human body region prediction judgment model is as follows:

firstly, forming a plurality of computer images containing human body areas into a data set, wherein each computer image sample in the data set is required to extract human body type boundary radian characteristics and facial image characteristics;

and secondly, training a machine learning model by using the data set, wherein the machine learning model takes the standardized boundary radian characteristics of the body type, the standardized boundary characteristics of the head and the standardized boundary characteristics as input, takes the body area as output, and obtains a body area prediction judgment model through supervised learning.

4. The method according to claim 1, wherein in S3, the region edge of the human body is linearized and segmented, specifically: the edges of the human body region in the human body pre-region are linearized and the image is segmented with the edge lines of the human body, and then the human body image inside the segmented edge lines is transmitted to step S4.

5. The method according to claim 1, wherein in S4, the image sharpening process is performed on the segmented human body image, specifically: and performing geometric processing, arithmetic processing, image enhancement, image coding, image recognition and image understanding processing on the segmented human body image.

6. A computer image processing method according to claim 1, wherein the image in step S2 is in one of a format bmp, jpg, png, tiff or gif.

7. A computer image processing method according to claim 1, wherein S5: saving pictures: and storing the processed image, and storing the format of the image according to the requirement.

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the computer image processing method of any of claims 1 to 7 when the computer program is executed.

9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the computer image processing method of any one of claims 1 to 7.

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