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An improved Canny image edge detection method with noise immunity

An image edge and detection method technology, applied in the field of image processing, to achieve clear edge detection results and resist the interference of salt and pepper noise

Active Publication Date: 2019-03-01
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0004] In order to solve the problem of accurate detection and extraction of the target contour in the image under complex conditions (including noise, complex texture, etc.), the present invention proposes an anti-noise method that combines adaptive median filtering, improved double threshold selection mode and edge analysis Improved the Canny algorithm to realize the edge detection and extraction of images containing complex textures in the case of noise

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  • An improved Canny image edge detection method with noise immunity
  • An improved Canny image edge detection method with noise immunity
  • An improved Canny image edge detection method with noise immunity

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with accompanying drawing.

[0042] 1. Use adaptive median filtering to smooth the image

[0043] ① Firstly, use the 3×3 × glyph template window S xy To perform the calculation, the calculation window S xy The gray-scale median Z inmed , the maximum gray value Z max and the gray minimum value Z min , and judge the noise sensitivity;

[0044] ②If window S xy Medium gray value Z med , not in Z max and Z min The window S is automatically increased between xy , repeat the above process until the window size reaches the set value or the gray median value Z med in Z max and Z min between;

[0045] ③ Then use window S xy A point gray value Z xy with grayscale maximum value Z max and the gray minimum value Z min Make a judgment, if in the meantime, the original value will not be modified, otherwise use Z med Replace the original value.

[0046] 2. Use the Sobel operator to calculate the gradi...

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Abstract

The invention discloses an improved Canny image edge detection method with noise immunity. On the basis of a Canny algorithm, the improved algorithm combines adaptive median filter to replace Gaussianfilter to denoise the image, so as to filter salt and pepper noise interference better. Then combined with the maximum inter-class variance method and the maximum entropy method, the double thresholdselection method is improved to get the high and low thresholds, so as to achieve the edge detection of the image, so that the target image retains the edge information as much as possible, while filtering out the unnecessary interference edges. The invention realizes the edge detection of an image under the condition of salt and pepper noise pollution and a double threshold selection method withstrong adaptability, and has high application reference value.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an improved Canny image edge detection method capable of resisting noise. Background technique [0002] Edge is the most basic feature of an image. It can greatly reduce the information to be processed while retaining the shape information of the object. Therefore, edge detection is the most basic problem in the field of image processing. Its solution is crucial for feature extraction, description, and target recognition. Research has an important impact. However, since the edge of the image is generally located at the position where the gray value of the pixel changes sharply, it has the same high-frequency characteristics as the noise signal, and it is easy to generate false edges or missed detection during detection, which is not conducive to subsequent extraction and recognition. Therefore, the research on image edge detection is still of great significance. [0003] Among m...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/136G06T7/155
CPCG06T7/13G06T7/136G06T7/155G06T2207/20032
Inventor 曾庆化张月圆刘建业熊智周雅婧黄河泽李一能宦国耀易荷田
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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