Improved image edge detection method

A detection method and image edge technology, which is applied in image analysis, image data processing, instruments, etc., can solve the problems of noise sensitivity and poor self-adaptive ability, and achieve the effect of reducing noise sensitivity and improving edge positioning accuracy

Inactive Publication Date: 2018-08-31
NANNING FUJIU INFORMATION TECH
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Problems solved by technology

However, the variance of the Gaussian function and the selection of high and low thresholds are all manually set, and the adaptiv...

Method used

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Embodiment Construction

[0041] The following specific examples further illustrate the present invention, but are not intended to limit the present invention.

[0042] An improved image edge detection method, comprising the following steps:

[0043] S1: Smooth the input image with adaptive smoothing filter;

[0044] S2: Learn from the first-order gradient template of the Sobel operator, and extend it to the first-order gradient template in the four directions of horizontal, vertical, 45° and 135°, and convolve the filtered image to obtain the four directions. first order gradient component , , and , get the gradient amplitude and gradient angle;

[0045] S3: Use the Otsu algorithm to calculate the threshold, and combine the connection analysis method to determine the final edge of the image.

[0046] The specific steps of adaptive smoothing filtering are as follows:

[0047] 1) Let f(x,y) be the input image, then the gradient component , Determined by the following formula:

[0048] ...

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Abstract

The invention discloses an improved image edge detection method. The method comprises the following steps of S1, using adaptive smooth filtering and smoothly inputting an image; S2, using the first order gradient template of a Sobel operator for reference and extending to the first order gradient templates in four directions of a horizontal direction, a vertical direction, a 45 degree and a 135 degree, carrying out convolution on the filtered image and acquiring first order gradient components at the four directions, and acquiring gradient amplitudes and gradient angles; and S3, using an Otsualgorithm to calculate a threshold, and combining a connection analysis method to determine the final edge of the image. In the invention, a traditional Canny edge detection algorithm is improved; firstly, the adaptive smooth filtering is used to replace Gaussian filtering in an original algorithm; then, the templates of the four directions of the horizontal direction, the vertical direction, the45 degree and the 135 degree are used to calculate a image gradient, noise sensitiveness is reduced and edge positioning precision is increased; after a non-maximal suppression step, the Otsu algorithm is introduced, and according to image gray level information, high and low thresholds are adaptively generated.

Description

technical field [0001] In particular, the present invention relates to an improved image edge detection method. Background technique [0002] The edge of the image refers to the set of pixels with a step change in the gray value of the surrounding pixels or a change in the roof, which reflects the discontinuity of the gray value of the image. The essence of edge detection is to use a certain algorithm to extract the boundary line between the target and the background in the image. Usually, the edge of the image can be obtained by detecting the maximum value of the first-order gradient or the zero-crossing point of the second-order derivative. Commonly used first-order gradient operators include Roberts, Prewitt, and Sobel; the most representative edge detection operator based on second-order derivative zero-crossing detection is the LoG operator proposed by Marr and Hildreth. These operators are all local window gradient operators. The advantage is that the amount of calcul...

Claims

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Application Information

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IPC IPC(8): G06T7/13
Inventor 不公告发明人
Owner NANNING FUJIU INFORMATION TECH
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