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Non-linear image enhancement method, and edge detection method using the same

An image enhancement and edge detection technology, applied in the field of image processing, can solve the problems of noise sensitivity, thick edges, inaccurate positioning, etc., and achieve the effect of good detection, strong practicability, and image noise elimination

Inactive Publication Date: 2016-08-24
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] First-order differential operators, such as Sobel operator, Roberts operator, Prewitt operator, and Kirsch operator, need to calculate each pixel when calculating the gradient of the edge, and generally need to set the threshold in advance, and the obtained edge is relatively small. "Thick", inaccurate positioning
Second-order differential edge detection operators, such as Laplacian and LoG operators, are quite sensitive to noise, and because zero-crossing points do not correspond to edge points one-to-one, they often generate some false edges, which limits their applications.

Method used

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Embodiment 1

[0044] Such as figure 1 Shown, a nonlinear image enhancement method, including the following steps:

[0045] Step 1: Image conversion: convert the acquired color image into a grayscale image;

[0046] Step 2: Image filtering: filter the grayscale image by using a median filtering method;

[0047] Step 3: Image equalization: consists of the following sub-steps:

[0048] Step 3-1: Calculate the frequency of occurrence of the kth gray level of the image before equalization processing:

[0049] p s (s k ) = n k / n,1≤k≤N (1)

[0050] Among them, n k is the number of kth gray level pixels, n is the total number of pixels, and N is the total number of gray levels;

[0051] Step 3-2: Calculate the gray value cumulative distribution function of the gray image before equalization processing:

[0052] t i = Σ k = 0 i p ...

Embodiment 2

[0063] Such as Figure 7 Shown, a kind of edge detection method that adopts the nonlinear image enhancement method described in claim 1, it is characterized in that: also comprise edge detection step: described edge detection step comprises the following sub-steps:

[0064] Step a: Image denoising: Convolve the grayscale image with the two-dimensional Gaussian filter template to eliminate noise;

[0065] Step b: Gradient calculation: use the derivative operator to calculate the gradient |G| of each edge pixel in the gray image and its direction angle θ:

[0066] | G | = G x 2 + G y 2 - - - ( 5 )

[0067] θ = a r c t ...

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Abstract

The invention discloses a non-linear image enhancement method, and an edge detection method using the same. The non-linear image enhancement method includes the following steps: image conversion, image filtering and image equalization. The edge detection method also includes the steps: image denoising, gradient calculating, marking of non-edge pixels, and fine edge treatment. The non-linear image enhancement method, and the edge detection method using the same utilize the non-linear image filtering and equalization method to effectively eliminate image noises and enhance image effect, can overcome the limitation of a linear method, are higher in practicality, and can perform edge extraction after image enhancement, wherein the employed edge extraction algorithm has better detection capability and positioning capability and has minimum response so that the image contour can be extracted more clearly.

Description

technical field [0001] The invention relates to an image enhancement method and an edge detection method, in particular to a nonlinear image enhancement method and an edge detection method, and belongs to the technical field of image processing. Background technique [0002] In recent years, with the rapid development and popularization of multimedia technology and the Internet, image processing technology has become more and more important, and has been widely used in office automation, industrial robots, geographic data processing, earth resource monitoring, remote sensing, medicine, communication, interactive computer-aided Design and other fields have gradually entered people's daily life. However, due to the influence of uneven lighting, environmental noise and other conditions, the effect of the image is often unsatisfactory, which affects the correct cognition of the characteristics of the object. Therefore, it is necessary to perform in-depth and meticulous processin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/00
CPCG06T2207/20032G06T5/70
Inventor 王艳飞王印松宋凯兵郭沁
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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