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Image processing method and device, electronic equipment and storage medium

An image processing and image technology, applied in image data processing, image analysis, image enhancement, etc., can solve the problem of low image edge detection efficiency, achieve fast edge detection, and improve efficiency

Active Publication Date: 2021-12-31
东莞拓斯达技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, image edge detection through wavelet multi-scale edge detection method and surface fitting method needs to introduce technologies such as surface iterative fitting and wavelet transform, so there is a technical problem of low image edge detection efficiency

Method used

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  • Image processing method and device, electronic equipment and storage medium
  • Image processing method and device, electronic equipment and storage medium
  • Image processing method and device, electronic equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0034] figure 1 It is a schematic flow chart of an image processing method provided by Embodiment 1 of the present invention. This embodiment is applicable to obtaining an image to be detected by processing the original image, and processing the image to be detected to obtain a target edge image corresponding to the original image. In some cases, the method can be executed by an image processing device, which can be realized by software and / or hardware, and the device can be integrated into an electronic device such as a computer or a server.

[0035] Such as figure 1 As shown, the method of the present embodiment includes:

[0036] S110. Acquire an original image, and determine an image to be detected corresponding to the original image.

[0037] Wherein, the original image may be an image that requires edge detection at the current moment. Optionally, the original image can be a color image, such as an RGB image, where RGB represents three color channels, and each pixel i...

Embodiment 2

[0085] figure 2 It is a schematic flow chart of an image processing method provided by Embodiment 2 of the present invention. On the basis of the foregoing embodiments, optionally, the construction of the to-be Convolution matrix, including: taking the number of pixel channels as the total number of rows of the matrix to be convoluted, and taking the number of gray values ​​of the channels corresponding to each pixel row as the total number of columns of the matrix to be convoluted , construct the matrix to be convoluted; wherein, the first row in the matrix row of the matrix to be convolved is composed of the channel gray value of each color channel of each pixel in the pixel row according to the arrangement order of each pixel It is obtained by arranging; each matrix row except the first row in the matrix row is obtained from the matrix elements of the previous matrix row adjacent to the current matrix row, except the matrix elements of the first column The matrix elements...

Embodiment 3

[0108] Embodiment 3 of the present invention provides an optional embodiment of an image processing method. For specific implementation manners, reference may be made to the following embodiments. Wherein, technical terms that are the same as or corresponding to those in the foregoing embodiments will not be repeated here.

[0109] The method of this embodiment specifically includes the following steps:

[0110] 1. Obtain the edge image to be detected, and preprocess the image to be detected through a separable filter to obtain a smooth image.

[0111] Wherein, the edge image to be detected can be understood as the original image. The separable filter may be a Gaussian filter generated based on a two-dimensional Gaussian function in advance, and may be used for preprocessing the image to be detected. Wherein, preprocessing the image to be detected can be understood as smoothing the image to be detected.

[0112] Specifically, the edge image to be detected is used as the ori...

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Abstract

The embodiment of the invention discloses an image processing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an original image, and determining an image to be subjected to edge detection corresponding to the original image; for each pixel row of the image to be subjected to edge detection, determining the pixel channel number of color channels corresponding to each pixel point in the pixel row and the channel gray value of each color channel; constructing a to-be-convolved matrix according to the number of the pixel channels and the channel gray value of each color channel, and performing convolution on each channel gray value in the to-be-convolved matrix according to a preset convolution kernel to obtain a gradient value of each pixel point in the pixel row; and determining a target edge image corresponding to the original image based on the gradient value of each pixel point, the technical scheme of the embodiment of the invention solves the technical problem of low image edge detection efficiency of a traditional image edge detection method, realizes faster edge detection of the image, and improves the efficiency of image edge detection.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of digital image processing, and in particular, to an image processing method, device, electronic equipment, and storage medium. Background technique [0002] With the development of digital processing technology, images have gradually become an important means of obtaining external information. Since the edge of the image is invariant, it will not be affected by the transformation of light or other external factors, and the thermal vision system is also the most sensitive to the edge of the image, so the research on image edge detection and calculation is beneficial to computer vision, image processing development. [0003] Traditional image edge detection methods are usually wavelet multi-scale edge detection method and surface fitting method. Among them, the sub-images on each corresponding scale are differentially processed by the gradient operator, and then the edge image is obta...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T7/90G06T5/00G06T5/20
CPCG06T7/13G06T7/90G06T5/20G06T5/70
Inventor 刘吉刚张翔王月张芳瑜吴丰礼
Owner 东莞拓斯达技术有限公司
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