Image boundary extraction method and system

A boundary extraction and boundary technology, applied in the field of image processing, can solve the problem of slow boundary connection speed and achieve the effect of improving the speed

Active Publication Date: 2016-02-24
BEIJING QIYI CENTURY SCI & TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The present invention provides an image boundary extraction method and system to solv

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  • Image boundary extraction method and system

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Embodiment 1

[0023] An image boundary extraction method provided by an embodiment of the present invention is introduced in detail.

[0024] refer to figure 1 , shows a flowchart of steps of an image boundary extraction method in an embodiment of the present invention.

[0025] Step 100, perform low-pass filtering on the image to remove the influence of noise.

[0026] The low-pass filter generally uses a Gaussian filter, and its expression is Among them, (x, y) is the coordinates of the pixel point, G(x, y) is the value after Gaussian filtering, σ is the standard deviation, it is a two-dimensional filter, but because it is separable in rows and columns, so It can be realized by separating the rows and columns, that is, a horizontal Gaussian low-pass filter is first performed, and the result is then subjected to a vertical Gaussian filter to obtain a Gaussian filtered image. When σ is , the 5-tap Gaussian filter can be expressed as {1,13,36,13,1} / 64. The image after removing the noi...

Embodiment 2

[0048] An image boundary extraction method provided by an embodiment of the present invention is introduced in detail.

[0049] refer to figure 2 , shows a flowchart of steps of an image boundary extraction method in an embodiment of the present invention.

[0050] Step 200, perform low-pass filtering on the image to remove the influence of noise.

[0051] The low-pass filter generally uses a Gaussian filter, and its expression is Among them, (x, y) is the coordinates of the pixel point, G(x, y) is the value after Gaussian filtering, σ is the standard deviation, it is a two-dimensional filter, but because it is separable in rows and columns, so It can be realized by separating the rows and columns, that is, a horizontal Gaussian low-pass filter is first performed, and the result is then subjected to a vertical Gaussian filter to obtain a Gaussian filtered image. When σ is , the 5-tap Gaussian filter can be expressed as {1,13,36,13,1} / 64. The image after removing the no...

Embodiment 3

[0140] An image boundary extraction system provided by an embodiment of the present invention is introduced in detail.

[0141] refer to image 3 , shows a schematic structural diagram of an image boundary extraction system in an embodiment of the present invention.

[0142] The system may include: an intensity and direction acquisition module 300 , a strong and weak boundary pixel determination module 302 , and a boundary extraction module 304 .

[0143] The functions of each module and the relationship between each module are introduced in detail below.

[0144] The intensity and direction acquisition module 300 is configured to acquire the gradient intensity and gradient direction of each pixel of the image.

[0145] The strong and weak boundary pixel determination module 302 is configured to determine strong boundary pixels and weak boundary pixels of the image according to the gradient strength and gradient direction of each pixel.

[0146] Wherein, the gradient streng...

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Abstract

The present invention provides an image boundary extraction method and system. The method comprises: acquiring gradient strength and a gradient direction of each pixel point of an image; according to the gradient strengthen and the gradient direction of each pixel point, determining strong boundary pixel points and weak boundary pixel points of the image; using row as the unit, and according to the strong boundary pixel points and the weak boundary pixel points, determining and obtaining second canny boundary pixel points respectively in order from top to bottom and in order from bottom to top; and according to the strong boundary pixel points and the second canny boundary pixel points, extracting a boundary of the image. According to the image boundary extraction method and system provided by the present invention, parallelization of boundary connection is realized and the speed of canny boundary connection is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image boundary extraction method and system. Background technique [0002] The place where the gray value changes sharply in the picture is defined as the boundary. Boundary extraction refers to a process for image contours in digital image processing. It is generally believed that boundary extraction is to preserve the area where the gray level of the image changes drastically. From a mathematical point of view, the most intuitive method is differentiation (difference for digital images). From the perspective of signal processing, it can also be said to be Use a high-pass filter, which preserves high-frequency signals. [0003] Carney boundary filter is a well-known image boundary extraction algorithm, which mainly includes the following steps: denoising, obtaining gradient image, calculating gradient direction and strength, obtaining strong and weak boundary pixel...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 朱洪波
Owner BEIJING QIYI CENTURY SCI & TECH CO LTD
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